question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>Which is the better scenario in terms of probability with the following:</p>
<p><strong>Scenario 1</strong></p>
<ul>
<li>I have a hat with 5 tickets in it (I have one).</li>
<li>There is one single draw.</li>
<li>I have a 20% chance that my ticket is drawn.</li>
</ul>
<p><strong>Scenario 2</strong></p>
<ul>
<li>... | g30 | [
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<p>I have a number of categories and a bunch of data about pairwise comparisons between those two categories; how do I learn information about overall rankings/ratings/etc. of all the categories?</p>
<p>Let me provide more detail. I'm trying to learn what the general population is most worried about, by surveying the... | g60251 | [
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<p>For $i=1, \ldots, K$ and $j=1, \ldots,n$, assume the following model.
\begin{align}
X_{ij} \mid \mu_i & \sim N(\mu_i, \sigma^2) \nonumber \\
P(\mu_i, \sigma^2) & \propto 1/\sigma^2
\end{align}
We assume everything is independent. Then the posterior is as below
\begin{align*}
\dfrac{\mu-\bar X_i}{s/ \sqrt{n}}... | g60252 | [
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<p>I have a classification problem where getting true positives is much more important than true negatives. </p>
<p>To be clear, I know that roughly 10% of my population are actual positives, but I can assign some proportion (say 30%) of the population to be classified as positives without much cost, above all else I... | g60253 | [
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<p>I'm trying to understand monthly data going back about 100 years.</p>
<p>As you can imagine old data values can be very small, \$1 compared to recent values of \$100.</p>
<p>What would be the best fitness metric to use as a forecast, based on the notion that being off \$1 100 years ago is a huge deal but \$1 now i... | g60254 | [
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<p>I am looking to study a particular type of error on a cognitive test to evaluate for potential clinical implications. As there is no existing research on this variable, I would like to run a pilot evaluation on a relatively large pool of subject data from our clinic (feasibly this would be about 200 subjects) to se... | g60255 | [
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<p>If I have two different independent continuous variables, X and Y. Is it legitimate to multiply their pdf's to form a pdf for the ordered pairs (X,Y) as f(x,y). </p>
<p>I've plotted the surface and the volume under it is 1, and the key points (peaks and troughs seem to be in the correct position).</p>
<p>Is this ... | g60256 | [
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... |
<ol>
<li>A simple random sample of 21 observations is drawn from a finite population of 41 individuals. If the population mean is 300 and the population variance is 7, then after applying the finite population correction factor the variance of the sample mean is:</li>
</ol>
<p>a. 0.1667</p>
<p>b. 0.3333</p>
<p>c. 0.... | g60257 | [
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<p>Suppose $u$ is the vector that maximises the variance of the projection of the data with design matrix $X$. </p>
<p>Now, I have seen materials that refer $u$ as the (first) principal component of the data, which is also the eigenvector with largest eigenvalue. </p>
<p>However, I have also seen that the principal c... | g16275 | [
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<p>I'd like to calculate the conditional probability in the following case:
I was told that a box contains a BLUE ball. this is my evidence, my prior probability of a BLUE being drawn is 0.3. and this message can come from a friend(0.6) or an enemy (0.4)</p>
<p>I also know the probabilities of:
a friend observing BLUE... | g16276 | [
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<p>I am looking around for datasets mainly in the form of natural language text corpus, that has been redacted by experts. So far I found only the <a href="http://www.cs.cmu.edu/~enron/" rel="nofollow">enron</a> dataset, but it appears only a few specific things (like employee mail-id, etc.) were redacted, which will n... | g44975 | [
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<p>I would like to know how to estimate a population average model of a hierarchical logistic regression using <code>R</code> package <code>geepack</code>.</p>
<p>The <code>Stata</code> code is: </p>
<pre><code>xtlogit dep ind1 ind2 ind3, i(ind4) pa
</code></pre>
<p>I would like to reproduce this in <code>R</code> u... | g60258 | [
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<p>So, I'm working on a problem where I have a sample distribution with a reported, mean and an asymmetric confidence interval from bootstrapped sampling of the initial population (this is from a meta-analysis - so, I also have the # of bootstrap replicates and the original sample size). Given this information, I woul... | g16277 | [
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... |
<p>Given N random points uniformly distributed in the unit square, and a distance d, i can generate a matrix in the following format:</p>
<pre><code> E V1 V2
[1,] 0.5564821 1 2
[2,] 0.3373116 1 3
[3,] 0.3973278 1 4
[4,] 0.6066518 1 5
[5,] 0.9603731 1 6
[6,] 0.3612895 1 7
# more rows...
</code... | g43138 | [
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-0.0103... |
<p>I came across this post <a href="http://xkcd.com/1132/" rel="nofollow">http://xkcd.com/1132/</a> and this image</p>
<p><img src="http://i.stack.imgur.com/g8yXV.png" alt="enter image description here"></p>
<p>I didn't get why the Bayesian statistician is saying no. Any suggestion</p> | g49585 | [
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0.03061... |
<p>I've got a few categorical predictors (like gender,...) and now I want to
build regression models. So I've made the categorical predictors numeric
by for example: "female" --> 1 and "male" --> 0.</p>
<p>But when I do methods like nearest neighbors regression I have to standardize
all the predictors (for example the... | g60259 | [
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<p>So I have a database of incidents, each identified by a unique number. Each individual incident is one row, and contains the date it occured. Data is roughly in the format:</p>
<pre><code># Date State Pop. Unemp. Rate CategoricalVar1 Cat.Var2 Cat.Var3 Cat.Var4
</code></pre>
<p>So, I was going to ... | g16283 | [
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<p>At the following figure at left side two realizations of point processes with different density (intensity) $\lambda_1$ and $\lambda_2$ is being mixed matching the center of the belonging areas to build a point process in the middle with intensity $\lambda$. Then randomly selected points as two sets extracted from i... | g60260 | [
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<p>I have a small table like this</p>
<pre><code>Outcome Feature_1_Value Feature_2_Value Feature_3_Value .....
1 1 1.2 3.7
9.7 2.3 3.976 4.65
.... .... .... ....
</code></pre>
<p>There is an... | g60261 | [
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... |
<p>I'd like to infer the variance of estimated parameter $\hat\theta$ of the density function of $f(x;\theta)$ given only a limited number of samples $X_1,\cdots,X_n$.</p>
<p>Bootstrapping doesn't perform well when the sample size is small. Is there any other methods to deal with the case?</p> | g60262 | [
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<p>I have data from a biological experiment of the following form:</p>
<pre><code> site1 site2 site3 site4
Condition A | replicate1 | 0.30 | 0.15 | 0.50 | 0.05
Condition A | replicate2 | 0.27 | 0.18 | 0.48 | 0.07
Condition B | replicate1 | 0.50 | 0.15 | 0.30 | 0.05
Condition... | g231 | [
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<p>I recently performed an experiment to implement Gamification (a simple points system) into a web application to see if the points had an effect on the users in terms of usage.</p>
<p>We have data on how much time users spend daily in the application, 1 month before Gamification was implemented, and 1 month after.
T... | g60263 | [
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<p>Let's say I have a Cox PH model for predicting the risk of dying, that in a simplified form looks something like this:</p>
<pre><code>Absolute risk = 1 – baseline hazard^(exp[LP-LPmean]), where
LP (=linear predictor) = 0.54815*age - 0.06318*age [if on treatment]
- 0.06351 [if using treatm... | g60264 | [
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<p>I'm trying to learn how to calibrate random forests for regression. I have found many informative sources on how to do this for classification but none for regression. The CORElearn R package has a random forest classifier with local weighting of basic models. But nothing for regression. I am basically trying to cor... | g60265 | [
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<p>I'm just working with the book Collective Intelligence (by Toby Segaran) and came across the Euclidean distance score. In the book the author shows how to calculate the similarity between two recommendation arrays (i.e. $\textrm{person} \times \textrm{movie} \mapsto \textrm{score})$ . </p>
<p>He calculates the Euc... | g60266 | [
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<p>From what I know, using lasso for variable selection handles the problem of correlated inputs. Also, since it is equivalent to Least Angle Regression, it is not slow computationally. However, many people (for example people I know doing bio-statistics) still seem to favour stepwise or stagewise variable selection. A... | g60267 | [
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<p>I would like to know how SPSS controls for variables in logistic regression in order to report the correct "controlled" OR.</p>
<p>The specific case which bothers my is as follows:
Let's say I have one IV tumor size, which is either small tumor size or large tumor size. The other IV is risk classification with low... | g20214 | [
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<p>I have finally been able to wrap my head around the mechanics of how to initialize and train a multivariate Gaussian mixture model using expectation maximization algorithm. So I wonder how difficult this GMM and EM task is in comparison to all other <strong>common</strong> algorithms and models in machine learning. ... | g20216 | [
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<p>I'm working on a problem from <em>"The Elements of Statistical Learning"</em> (prob. 6.8):</p>
<blockquote>
<p>Suppose that for continuous response
$Y$ and predictor $X$, we model the
joint density of $X, Y$ using a
multivariate Gaussian kernel
estimator. Note that the kernel in
this case would be the p... | g60268 | [
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... |
<p>I would like to plot the attached <a href="http://i.stack.imgur.com/acNhK.jpg" rel="nofollow">income distribution dataset</a> (rendered as an image) as an area chart.
As you can see, personal income is divided into 26 intervals of varying width. I also have the average and mean income in the intervals.</p>
<p>To co... | g60269 | [
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<p>I have the following question for a course I'm working on:</p>
<blockquote>
<p>Conduct a Monte Carlo study to estimate the coverage probabilities of
the standard normal bootstrap confidence interval and the basic bootstrap confidence
interval. Sample from a normal population and check the empirical coverage ... | g60270 | [
-0.009891415946185589,
0.025845622643828392,
0.011478985659778118,
0.030707430094480515,
-0.01579669490456581,
0.03143706172704697,
0.04518773779273033,
-0.008320320397615433,
-0.04450198635458946,
-0.014387335628271103,
-0.004098712466657162,
0.04512908682227135,
0.06994476914405823,
0.02... |
<p>for the following 3 values 222,1122,45444</p>
<p><a href="http://www.wolframalpha.com/input/?i=skew+222%2C1122%2C45444+">WolframAlpha gives</a> 0.706</p>
<p>Excel, using <code>=SKEW(222,1122,45444)</code> gives 1.729</p>
<p>What explains the difference?</p> | g60271 | [
-0.0024394148495048285,
-0.05995028465986252,
-0.013467157259583473,
0.011147202923893929,
0.02529524266719818,
-0.017724445089697838,
-0.034279949963092804,
0.047290559858083725,
-0.06565596163272858,
0.014347497373819351,
-0.02307116612792015,
0.03681322559714317,
0.01071238424628973,
0.... |
<p>How would you go about calculating test statistic t from a regression equation and the standard error of the slope?</p> | g60272 | [
0.03743203356862068,
-0.05704595148563385,
-0.011101331561803818,
0.029590578749775887,
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0.05181145295500755,
0.05360567569732666,
-0.050258856266736984,
-0.014360643923282623,
-0.03575680032372475,
0.012105794623494148,
0.06470800191164017,
-0.... |
<p>I am trying to compare two temporal distributions. To give an example, consider two factories. For each factory we have a distribution of number of hours taken to produce a product. E.g. 40% of total products were produced in less than an hour, 20% in less than 2 hours but more than 1 and so on and so forth. What is... | g60273 | [
0.04210793599486351,
-0.008141465485095978,
-0.015318064019083977,
-0.02523268759250641,
-0.041056979447603226,
-0.0013665291480720043,
0.019740769639611244,
-0.02323119342327118,
-0.07411181926727295,
-0.010001124814152718,
-0.006224390119314194,
-0.032154183834791183,
0.08254627883434296,
... |
<p>How can I create plots in R like this mockup made in Powerpoint?</p>
<p><img src="http://i276.photobucket.com/albums/kk30/baixiwei/grid.png" alt="image of a grid"></p>
<p>In other words, for each combination of x-axis and y-axis values, I want to plot two triangles which, together, form a square. I have two vector... | g60274 | [
0.03652031347155571,
0.0246441513299942,
-0.0033150427043437958,
-0.08131217211484909,
0.015747493132948875,
-0.011950627900660038,
0.02091388590633869,
-0.05078578367829323,
-0.02746240794658661,
-0.014139569364488125,
0.041208554059267044,
-0.020265180617570877,
0.02727937512099743,
-0.0... |
<p>I have a two-dimensional data set that looks like $(t, x)$ where $t$ is a time in seconds when event $X$ happened. $X$ ranges from $[0, 200]$. </p>
<p>I want to visualize the frequency of each $x$ at time $t$ over some time period. I guess this would be a bar graph with $x$-axis being event #, $y$-axis being freque... | g16294 | [
0.013621438294649124,
0.03214452043175697,
-0.013155212625861168,
-0.03253678232431412,
-0.013469369150698185,
-0.06543384492397308,
0.06559261679649353,
-0.046627964824438095,
-0.06857757270336151,
-0.036318063735961914,
0.020147183910012245,
0.045801255851984024,
0.04177084192633629,
0.0... |
<p>Why is the <a href="http://en.wikipedia.org/wiki/Design_effect" rel="nofollow">design effect</a> in most sample studies taken as 1.25? Who and how was it calculated first of all?</p> | g60275 | [
-0.009813390672206879,
0.018171563744544983,
-0.03477513790130615,
-0.019992444664239883,
0.03276483714580536,
0.00210594292730093,
0.06928294897079468,
0.049613624811172485,
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-0.02634081430733204,
-0.02385851927101612,
-0.01719321310520172,
0.05711757019162178,
0.054... |
<p>First of all: I'm mathematically challenged.</p>
<p>Question 1: I use the Pearson correlation coefficient to correlate people. As a real life example: I correlate those people by comparing the number of points they've given to movies. This works very well. Now I would like to correlate not 1 variable but multiple, ... | g45740 | [
0.02352413721382618,
-0.06243376061320305,
0.0011484968708828092,
-0.04842991381883621,
0.021044094115495682,
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0.010753816924989223,
-0.017995046451687813,
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0.009634745307266712,
0.0040766955353319645,
-0.017736101523041725,
-0.008514808490872383,
... |
<p>I have two datasets, the first on schools, and the second lists students in each school <em>who have failed in standardized test</em> (emphasis intentional). The first dataset has the structure below (I'm sorry I could not figure out how to insert a proper data snippet):</p>
<pre><code>School_ID Total_White Tot... | g45741 | [
-0.024376189336180687,
-0.007806276902556419,
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-0.0259566530585289,
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0.00632053567096591,
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0.013880353420972824,
-0.014326372183859348,
0.02360875904560089,
0.04608481377363205,
0.00... |
<p>I am looking for a package to analyze rank-order data in the form of regression. My outcome (dependent) variable is a rank ordering in the sense that the respondents to a questionnaire were asked a single question: to assign the values 1 to 4 to four different objects (e.g. to rank four cars as best , second best e... | g60276 | [
-0.011873694136738777,
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-0.033291902393102646,
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0.002807599026709795,
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-0.01481666136533022,
0.024772964417934418,
-0.020425163209438324,
0.00467944610863924,
... |
<p>Hello Stats community,</p>
<p>I wanted to ask if anyone has advice on finding graduate student fellowships for students in the US studying statistics, data mining, or data analysis?</p>
<p>I know the <a href="http://www.nsfgrfp.org/" rel="nofollow">NSF</a> has a 3 year long fellowship, as well as the <a href="http... | g16297 | [
0.012072981335222721,
0.06224418804049492,
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0.024043839424848557,
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0.02227046713232994,
0.08128350228071213,
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-0.013649689964950085,
0.005426927004009485,
0.018500465899705887,
0.05452122539281845,
-0.... |
<p>This question arises from the one asked <a href="http://stats.stackexchange.com/q/21075/6633">here</a> about a bound on moment generating functions (MGFs).</p>
<p>Suppose $X$ is a bounded zero-mean random variable taking on values in
$[-\sigma, \sigma]$ and let $G(t) = E[e^{tX}]$ be its MGF. From a <a href="http://... | g43317 | [
-0.0361589714884758,
0.023045243695378304,
0.006688761059194803,
-0.011032512411475182,
-0.026232710108160973,
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-0.024718651548027992,
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-0.008403957821428776,
-0.03043653815984726,
-0.0033981362357735634,
0.006182805169373751... |
<p>I have six 5-point Likert items (1-Strongly Disagree, 2-Disagree, 3-Neither agree or disagree, 4-Agree, 5-Strongly Agree) which are related to my dependent variable. I sum the six variables which gives the frequency as follows:</p>
<pre><code> Frequency
6.00 1
9.00 1
12.00 6
13.00 3
14.00 3
15.00 1... | g60277 | [
-0.009046999737620354,
-0.011730726808309555,
-0.001184674329124391,
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0.028256991878151894,
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0.01808481477200985,
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0.010784014128148556,
-0.03036401979625225,
0.031716883182525635,
0.013108333572745323,
-0... |
<p>I have a study with 130 participants where most of my analyses involve examining the relative size of correlations between various psychological variables. I'm trying to comply with recommendations that request authors to say something about the statistical power of their study.
Statistical power focuses on whether ... | g60278 | [
0.04249503090977669,
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0.0013060916680842638,
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0.013439514674246311,
0.002207385376095772,
-0.004393812734633684,
0.09606707096099854,
-0.03531074523925781,
0.028900248929858208,
... |
<p>I'm building a system to alert when the proportion of successes to attempts goes out of control. To visualize the data, I've produced some rolling control charts to get an idea of when things would have alerted.</p>
<p>A sample of one such chart is here, roughly labeled in photoshop for some clarification:</p>
<p... | g60279 | [
-0.005451746750622988,
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0.04812299832701683,
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-0.06086428835988045,
0.013302083127200603,
0.0022762962616980076,
0.0767089650034904... |
<p>Suppose 10 people conduct a 10 studies which rank people's top five favorite colors. For instance, one survey may produce a list 1) red 2) blue 3) green 4) yellow 5) orange, where red is the favorite color on the list and orange is the least favorite on the list. </p>
<p>The methodology of the 10 surveys are comple... | g60280 | [
0.0473126545548439,
0.02721220999956131,
0.012906985357403755,
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0.024834653362631798,
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0.032130610197782516,
0.03820360451936722,
0.05155638977885246,
-0.03804154321551323,
0.039536941796541214,
0.0305191... |
<p>I'm trying to report the results of my chi-square test for independence in APA format but these results don't resemble the examples I've seen especially the 4 digits before the period in the chi-square test results i.e. 9355.19 and 9556.44. Am I doing this right? </p>
<blockquote>
<p>"the χ2 tests showed signif... | g16303 | [
0.04161999747157097,
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0.027889536693692207,
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0.008565140888094902,
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0.03146449103951454,
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0.037000179290771484,
0.020391685888171196,
-0.029323743656277657,
0.04355745017528534,
0.020928390324115753,
0.03... |
<p>I am trying to control a binomial proportion that hovers pretty close around 0.1% - 1.0%. Since it seems like dropping from 0.1% to 0.05% is equally as severe as increasing to 0.2% (halving the occurrences, doubling the occurrences), it makes sense to me to use geometric mean / standard deviation. Also, by using g... | g16304 | [
0.05916565656661987,
0.004069195594638586,
0.039532702416181564,
0.013158160261809826,
0.017655491828918457,
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0.04074364900588989,
0.0035844058729708195,
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0.05015506595373154,
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0.09966573864221573,
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<p>I have the admission for 4 different hospitals (coded as binary) which are regressed on a list of independent variables.</p>
<p>The multinomial logistic provides the odds ratio (O.R.) for independent variable for each hospital and then compare this to a reference hospital.</p>
<p>Can I add each of the O.R. from ea... | g60281 | [
-0.03910529986023903,
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0.005697931163012981,
0.019828692078590393,
0.03331492096185684,
0... |
<p>I am looking for some help with my time-series data. What is the best method of detrending/transformation of these two variables, so I do not violate assumptions of stationarity when applying a cross correlation function (to find out if one series is leading the other)?
<img src="http://i.stack.imgur.com/FnWsF.png"... | g60282 | [
0.03364640846848488,
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0.031981997191905975,
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0.050993435084819794,
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0.03906497731804848,
0.0049138981848955154,
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0.0009774999925866723,
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0.029510799795389175,
0.029825542122125626,
0.... |
<p>If a probability distribution has, say, 112 bins with around 29000 samples, with the maximum probability of a bin being less than 0.05, is the Jarque-Bera test an effective measure of conformance to a Normal distribution?</p>
<p>I'm working with univariate data, whose probability distribution 'looks' normal, with s... | g44981 | [
-0.024287650361657143,
0.01873062178492546,
0.014411563985049725,
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0.004979677964001894,
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0.05770973861217499,
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0.025686997920274734,
0.0463721938431263,
0.019632985815405846,
0.01809210143983364,
-0.012... |
<p>I have calculated log-likelihood distances between 50 sequences according to the Formula (1): </p>
<p>$$
D(X_i,X_j)= 1/2(\log p(X_i|Mod_j)+\log p(X_j|Mod_i)),
$$
where $
p(X_i|Mod_j)
$ is the likelihood of sequence $X_i$ being produced by model $Mod_j$, where $Mod_j$ is a corresponding Markov model of the given $... | g60283 | [
-0.04476776719093323,
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0.012468989007174969,
-0.006678442470729351,
-0.010154924355447292,
0.030337246134877205,
0.10803830623626709,
... |
<p>I am a computer scientist with little statistics background and I am trying to find the best fitting distribution for some data set (using MATLAB). To assess the goodness of fit I use both Kolmogorov Smirnov (KS) and Anderson Darling (AD) tests, and here are the p-values for the same data set:</p>
<pre><code>Distri... | g16307 | [
0.05762137100100517,
-0.006483050994575024,
-0.015979556366801262,
-0.003056531073525548,
-0.027039408683776855,
0.055006369948387146,
0.030667901039123535,
0.04737132787704468,
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-0.01992085948586464,
-0.013465910218656063,
0.020873086526989937,
0.0377669520676136,
0.... |
<p>I think its better to put like this. I want to use bootstrap for a test statistic. how can I apply the parametric bootstrap., and the non parametric bootstrap on the other hand. and what is the big difference of the two methods. it will be appriciated if you answered me with some examples.
thanks.</p> | g16309 | [
0.034652527421712875,
0.02443079464137554,
0.006333786994218826,
0.007782020140439272,
0.018082808703184128,
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0.05351672321557999,
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0.01909438706934452,
-0.009502975270152092,
0.055428266525268555,
0.0... |
<p>I am running a generalized linear model in SPSS on data highly skewed to the right with a bunch of zeroes (average # caterpillars per tree species branch sampled) so I decided to use the Tweedie distribution. </p>
<p>In the model I ran both untransformed data (with <code>link=log</code>) as well as $\log(x+1)$ tran... | g45754 | [
-0.031247368082404137,
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0.019641665741801262,
-0.006386894732713699,
0.020853109657764435,
0.06567879766225815,
... |
<p>For example, take the generalized regression model: y = X$\beta$ + $\varepsilon$, what would the variance-covariance matrix be for $\varepsilon$ hat?</p> | g60284 | [
-0.02617591992020607,
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0.058763597160577774,
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0.06410311162471771,
0.007212350144982338,
-0... |
<p>I need to give a lecture about Bayesian statistics, introducing it to people who have already basic knowledge of classic statistics (but not too much of it in general).</p>
<p>I want to start with some example, showing the main differences between Bayesian statistics and classic statistics. Is anyone familiar with ... | g16313 | [
0.04277404397726059,
0.0347440168261528,
0.010012585669755936,
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0.026306746527552605,
0.01760895736515522,
0.050617288798093796,
0.0... |
<p>I'm interested in exploring <a href="http://deeplearning.net/tutorial/dA.html" rel="nofollow">autoencoders</a> which can be used to develop a compressed representation of data useful for machine learning.</p>
<p>In my experience random forests are easier to work with and more flexible than linear models and so I'd ... | g37661 | [
-0.017236948013305664,
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0.013845710083842278,
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0.03165055438876152,
-... |
<p>For an assignment, I need to find $E_{y|\theta} [- \frac{\partial^2}{\partial^2\theta} \ln[P(y|\theta)] ]$, where $y \sim \mathcal{N}(\theta, 1)$ and $\theta \sim \mathcal{N}(0, \delta^2)$.</p>
<p>I can handle taking the partial derivatives, log, etc. Where I am stumbling is in finding $f_{y|\theta}$. </p>
<p>... | g60285 | [
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0.06515689194202423,
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0.020723508670926094,
0.02577015943825245,
0... |
<p>I have a sample of size 10,000 of a 4-variate random vector coming from a (unknown) continuous multivariate distribution. </p>
<p><strong>How can I estimate the mode of this density using nonparametric methods?</strong></p>
<p>I am currently estimating the corresponding density using the sample and a kernel estim... | g45761 | [
0.01572183333337307,
-0.026001445949077606,
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0.03785429522395134,
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0.03668147698044777,
0.... |
<p>Are assumptions for multiple linear regression basically the same as simple linear regression? One has to check for linearity for each of the continuous predictors versus the outcome variable? If there are categorical variables, one has to check the linearity between each of the continuous predictors with the outcom... | g60286 | [
0.022344548255205154,
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0.0068174684420228004,
0.027753058820962906,
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0.005364181008189917,
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0.022882336750626564,
... |
<p>I have a question about SAS:</p>
<p>How do you get the parameter estimate for Mallows' Cp procedure in SAS?</p> | g37661 | [
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<p>Two common approaches for selecting correlated variables are significance tests and cross validation. What problem does each try to solve and when would I prefer one over the other?</p> | g60287 | [
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<p>I need to compare two linear regression models that include the regressors in levels and in squares:</p>
<p>$Y=a_1x^2+b_1x+c_1$ <strong>and</strong> $Y=a_2x^2+b_2x+c_2 $</p>
<p>Specifically, I need to test whether these regression models are significantly different (i.e., whether $a_1=a_2,b_1=b_2,c_1=c_2$).</p>
<... | g60288 | [
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<p>Problem Setting: I have a fixed number of class labels $|Y|$. In the test phase, I will be given a $x$ and a candidate $y \in Y$. I have to make a "yes/no" assertion whether $y$ is the correct class label for $x$.</p>
<p>An easy way would be to use multi-class classification and output "no" for every pairing which ... | g60289 | [
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<p>We are doing an activation map study and we want to control for false positives in multiple comparisons. Our map is around 5000 pixels. There's a lot of noise and variance so we see results that seem appropriate at p < 0.05 . About 10% of the map is significant activation.</p>
<p>We have run the Storey pFDR proc... | g60290 | [
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<p>My data rejects unit root, but shows structural break, is this possible?
Thank you!</p> | g43126 | [
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<p>I have a correlation between two variables of 0.30, hence a medium effect. but it is not statistically significant and I want to report the reasons for that. looking at the test statistic I see that the sample size (as in all test statistics) has an influence. But what else could be the reason? Does the standard dev... | g60291 | [
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<p>I am trying to estimate a logit regression model with travel mode choice (categorical) being the dependent variable; explanatory variables include age (categorical), income (categorical), gender (binary), and travel cost (continuous). I also have information on origin town (6 digit code for each town, about 50 towns... | g60292 | [
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<p>I've found some interesting results that I'm trying to write up appropriately, but I'm having a hard time finding any guidance into how to write up an interaction in a binary logistic regression (outcome is 0,1). The interaction was predicted, and this is not an issue. The issue is that I have two categorical pred... | g60293 | [
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<p>I want to use logit model in Stata. In my dataset only 3% of my target variable observations are 1, and 97% are 0. </p>
<p>How do I rebalance this data set, so I have more observations labelled 1, and fewer labelled 0?</p> | g60294 | [
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<p>I'm looking for a general method for 2d interpolation of a coarsely sampled image. I'll use an example, taken from the scipy.interpolate (Python) page. </p>
<p><img src="http://bit.ly/10lHXma" alt=""></p>
<p>Say, I have this image, but instead of interpolating in the sense of going from e.g. a 512x512 grid to a 10... | g60295 | [
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<p>I'm currently working on a plot engine for my project. This engine should be robust for a wide range of inputs. In order to analyse the data, I'm plotting a series of graphs utilising <em>python/matplotlib</em>. Among them is the following:</p>
<p><img src="http://i.stack.imgur.com/6vhgg.png" alt="scatter plot"></p... | g60296 | [
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<p>I have 5 variables and I'm trying to predict my target variable which must be within the range 0 to 70.</p>
<p>How do I use this piece of information to model my target better?</p>
<p>Thanks</p> | g60297 | [
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<p>I have a weighted sample, for which I wish to calculate quantiles.<sup>1</sup></p>
<p>Ideally, where the weights are equal (whether = 1 or otherwise), the results would be consistent with those of <code>scipy.stats.scoreatpercentile()</code> and R's <code>quantile(...,type=7)</code>.</p>
<p>One simple approach wou... | g20524 | [
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<p>I lack knowledge of statistical terminology, so I'll try to thoroughly explain my predicament and hope that it is understandable:</p>
<p>I am programming a software for technical analysis of financial markets.<br>
This software will receive a variable who's value represents current market conditions. </p>
<p>In th... | g60298 | [
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<p>I want to prove $[X|y] \rightarrow \delta_0(X)$, as $y$ goes to $\infty$, i.e. the distribution of $[X|y]$ converges to degenerate distribution at zero for large enough $y$.
I know the density $f(x|y)$ upto a multiplicative constant and also the fact that
$$
\frac{f(x|y)}{f(0|y)} \rightarrow 0 \quad \text{as } y ... | g60299 | [
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<p>Let's say that I'm trying to find the factors which help predict whether I wear red shoes or not during a year long time-period. I could look at weather, day of the week, month, and other factors. However, how much variation does there need to be in the dependent variable for me to be certain that I am acctually mea... | g33945 | [
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<p>I've got some rather messy data from a natural experiment. A number of subjects were measured (the measurements were hopefully-Poisson distributed counts and associated offsets), placed on a treatment at time T, and then measured again sometime afterward. However, there is some reason to suspect that the dependen... | g45794 | [
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<p>I have a 2x4 contingency table and I'm testing for a monotone trend.
How can the weights (scores) be applied in the following situation: The 1st category is expected to have no effect on the dichotomic variable. The 2nd and 3rd to have some effect. And the third to have by far the most.
Until now, I applied weight... | g60300 | [
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<p>There's a lot of discussion going on on this forum about the proper way to specify various hierarchical models using <code>lmer</code>.</p>
<p>I thought it would be great to have all the information in one place.
A couple of questions to start:</p>
<ol>
<li>How to specify multiple levels, where one group is nested... | g49628 | [
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0... |
<p>I need to correlate employee engagement (gathered data using the 9 item UWES questionnaire) and organizational commitment (gathered data using the 18 item Organizational Commitment Scale).</p>
<p>The both of them can be divided into different components;</p>
<ul>
<li><p>UWES - <code>Vigour</code> (3-items in quest... | g60301 | [
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<p>I was wondering if any of the members of this community would like to share his/her intuition about <strong>completeness</strong> in statistics. For the sake of "completeness", here's the definition, taken from <a href="http://en.wikipedia.org/wiki/Completeness_%28statistics%29" rel="nofollow">Wikipedia</a>:</p>
<b... | g60302 | [
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... |
<p>I am trying to do experiments on geographic systems prediction. We're working on classifying the location where we sell product most. So, we need to analyze the hestorical data and predict the success of our product in specific areas, specific time.</p>
<p>I don't have a lot of experience in statistics and modeling... | g60303 | [
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<p>I am looking to predict groups of items that someone will purchase... i.e., I have multiple, colinear dependent variables. </p>
<p>Rather than building 7 or so independent models to predict the probability of someone buying each of the 7 items, and then combining the results, what methods should I look into to have... | g60304 | [
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<p>I am working to analyze poverty rate using census data. </p>
<p>I have a huge dataset. I want to extract the likelihood from this dataset in order to create patterns for energy consumption.</p>
<p>What is the best approach to tackle this problem?</p> | g60305 | [
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<p>Take for example, that we want to find the probabilistic model for only <strong>two</strong> document types (doc can be + or -).</p>
<p>I was trying to understand why the way that we classify a document model was with the following decision rule (under the assumption equal probability of the two type of models):</p... | g16344 | [
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<p>Screenshot from <a href="https://www.youtube.com/watch?v=Q0_KuvFotxo&list=PLmQpd4sO8qHsPOemZ9cVe_8qirgsREeiH" rel="nofollow">this video</a>:</p>
<p><img src="http://i.stack.imgur.com/xFSeO.png" alt="enter image description here"></p>
<p>This describes the decision boundary of support vector machine as
a optimi... | g60306 | [
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<p>I'm considering using the following simple function as an SVM kernel. It basically computes the distance between the 2 input vectors (norm):</p>
<p>$K(\vec{x}_1, \vec{x}_2) = \left\| \vec{x}_1- \vec{x}_2 \right\|$, where $\vec{x}_1$ and $\vec{x}_2$ are $N$-dimensional vectors.</p>
<p>I'm not familiar with docume... | g16345 | [
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-0... |
<p>Some scientific papers report results of parallel analysis of principal axis factor analysis in a way inconsistent with my understanding of the methodology. What am I missing? Am I wrong or are they.</p>
<p>Example:</p>
<ul>
<li><strong>Data:</strong> The performance of 200 individual humans has been observed on 1... | g22394 | [
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<p>I'm currently working on energy demand forecasting using daily load data. I'm using data since 1990 and, in order to use ARIMAX models, I detrended the data (using a first-order polynomial) and then I removed seasonality. As we can see on this image <img src="http://i.stack.imgur.com/iQ5OG.jpg" alt="monthly load dat... | g60307 | [
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-... |
<p>I often see similar statements on football (soccer) websites.</p>
<blockquote>
<p>Team A has lost 4 out of their last 5 matches against Team B. (and thus, there is a high chance Team A will lose their next match tomorrow against Team B.</p>
</blockquote>
<p>But if I procede to find out the matches played, the mo... | g45426 | [
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-0.00756... |
<p>The data below are from a health testing centre over 8 years so there are different people being tested there each year. All I really want to show is that the amount of females being tested is different over the different years. The data look like this: </p>
<pre><code>YEAR FEMALE MALE TOTAL
2002 50 ... | g60308 | [
0.016248293220996857,
-0.01446310244500637,
-0.015594225376844406,
-0.0435250960290432,
-0.016857847571372986,
0.0031907844822853804,
0.03634834662079811,
-0.026103472337126732,
0.005920518655329943,
0.012948215939104557,
0.02023499459028244,
0.058111485093832016,
0.0034962198697030544,
0.... |
<p>I would like to model my problem using something similar to Item Response Theory - but my responses are not binary - they are continuous in [0;1].</p>
<p>How are these models/the research field called?</p> | g16348 | [
-0.001560469507239759,
-0.0022953127045184374,
0.007025156635791063,
-0.0267611276358366,
0.04181466996669769,
0.005897385999560356,
0.04755493253469467,
0.010737675242125988,
-0.031910546123981476,
-0.02742762491106987,
-0.012033510953187943,
-0.028085021302103996,
0.034810230135917664,
-... |
<p>I wonder about the relationship between two methods called expectation-maximization (EM) and majorization-minimization. One of them, the EM algorithm can be used for finding the mode of the likelihood or posterior distribution by introducing the latent variables. In the book of Bishop, BRML, he claims that, the new ... | g60309 | [
0.0030281308572739363,
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0.004510689526796341,
0.0070765321142971516,
-0.0212475024163723,
-0.013929525390267372,
-0.014401635155081749,
-0.013011305592954159,
0.003828328335657716,
-0.013066315092146397,
-0.06025169789791107,
-0.008136306889355183,
0.08794916421175003,
... |
<p>My experimental design is roughly this: I have observations of 5 categories of behavior in a specific situation, with two individuals interacting at a time. In each dyad, I only collect data from one individual. Each time that situation is observed, I categorize the presence/absence of the 5 behaviors. The behaviors... | g45813 | [
-0.018991949036717415,
-0.031770989298820496,
-0.001557892537675798,
-0.03211149200797081,
0.03972531855106354,
-0.015509109944105148,
0.03972603753209114,
-0.015480711124837399,
-0.005109106190502644,
-0.05667123198509216,
0.0030333539471030235,
-0.036552369594573975,
0.04286399483680725,
... |
<p>I'd like to introduce a metric where I can use it to describe influencing point to predict weather. </p>
<p>I have three metrics to introduce [Hour, Day, Month]. Based on the KNN Neighbors, I'd like to predict values based on time. </p>
<p>After scoring the neighbors. I'd like to use now time to calculate the prob... | g60310 | [
0.00831411313265562,
-0.012824226170778275,
-0.0025207349099218845,
-0.07829956710338593,
-0.022606248036026955,
-0.0008410611771978438,
-0.017977869138121605,
0.009847711771726608,
-0.09695308655500412,
-0.01714134030044079,
0.02881137654185295,
0.013609658926725388,
0.04395049437880516,
... |
<p>I'm trying to predict house prices. I use features like the area of the house, age of the house, etc.</p>
<p>I turns out that knn (k-nearest neighbor) algorithm beats all the other powerful algorithms like Neural networks, SVMs, linear regression.</p>
<p>What might be the reason of this? And in general for what ch... | g60311 | [
0.03746197372674942,
-0.01111967209726572,
0.013007856905460358,
0.02655942365527153,
-0.014075955376029015,
-0.02851724624633789,
-0.02725732885301113,
0.05876879394054413,
-0.02184971608221531,
-0.020663557574152946,
0.04967649281024933,
-0.004839104600250721,
0.08763259649276733,
0.0653... |
<p>I'm trying to visualize a set of data that represents human body mass over time, taken from (usually) daily weighings.</p>
<p>Because body mass tends to fluctuate +/- 3 pounds based on hydration I would like to draw a strongly smoothed line graph to minimize the fluctuation.</p>
<p>Any help on what the equation wo... | g60312 | [
0.027878474444150925,
0.05162232369184494,
-0.02793709561228752,
-0.0253925658762455,
-0.04943956062197685,
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0.03997781127691269,
-0.03583061322569847,
-0.05643448233604431,
-0.03750539571046829,
0.02174147218465805,
0.010591122321784496,
0.12239685654640198,
0.0243801... |
<p>I am trying to assess the significance of the obtained MI matrix. The initial input was a array of 3000 genes by 45 timepoints. MI was computed resulting in a array of 3600 by 3600. I am thus comparing my results to a shuffled matrix with the same dimensions. I permutate the columns 100 times, thus have 100 results... | g45818 | [
-0.029435470700263977,
-0.03235529363155365,
-0.01179515291005373,
-0.044606972485780716,
-0.04817906394600868,
-0.05581723153591156,
0.06056542694568634,
0.05409988760948181,
0.000054188520152820274,
0.05304368957877159,
-0.0289547648280859,
0.04309217259287834,
0.058182746171951294,
0.02... |
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