question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I have large comparison data in form </p>
<p>In a pairwise comparison data each data point compares two alternatives.<br>
For instance:<br>
A > B (A is preferred to B, A and B are classes, not numbers)<br>
A > B<br>
B > A<br>
B > C<br>
A > C<br>
etc ... </p>
<p>In short we can write numbers of preferences in data... | g64125 | [
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<p>Suppose you constructing model whose training data is cumulative in nature; meaning each year you can add new observations with all prior observations being kept the same. (e.g. training set is non-decreasing)</p>
<p>As a close analogy, let's rephrase the objective of the true model in terms of studying college stu... | g64126 | [
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<p>I have a problem that occurs randomly, in approximately 2 % of tests.
I am testing fixes, to prevent the error from occurring.
The error occurring once would mean it is still happening and would render the solution invalid.</p>
<p>I would like to know, how many tests without the error occurring would give me a 95%... | g64127 | [
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<p>I try to estimate survival curves based on a Kaplan-Meier estimator using <code>proc lifetest</code>. However, SAS outputs an error message which I do not manage to circumvent. Can you help me? The data set is available <a href="http://paste.pocoo.org/raw/565353/" rel="nofollow">here</a>. </p>
<p><strong>My code</s... | g22124 | [
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<p>Suppose in an Xbar chart, k successive points plotted outside a control limit indicates an out of control situation. If p is the probability of plotting a point outside a control limit, how is ARL = $(1-p^k)/(p^k (1-p))$?</p> | g64128 | [
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<p><em><strong>What method is used to calculate confidence intervals in R's <code>MASS</code> package function <code>confint.glm</code>?</em></strong></p>
<p>The <a href="http://stat.ethz.ch/R-manual/R-devel/library/MASS/html/confint.html" rel="nofollow">helpfile</a> states that:</p>
<blockquote>
<p>These <code>con... | g41608 | [
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<p>Despite the title, this is a more general and clearly solvable problem, I just can't research it because I have no idea what it's called.</p>
<p>Assume you are trying to buy something (such as a house) where there are many choices and gathering information about each choice is expensive enough to care about. Furth... | g64129 | [
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<p>I'm running an ANOVA model. I found my model does not meet constant variance assumption and corrected for that using a weighted ANOVA model. I don't think that changes anything..</p>
<p>After I run the weighted ANOVA model in SAS, I find one of my fixed effects is not significant with p-value = 0.3, but when I run ... | g64130 | [
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<p>I have learned that resampling e.g. bootstrapping could give us better results for some problems. If we have a huge data set (millions of values) does it make sense to do some kind of resampling or these methods are only suitable when the data set is not that big?</p> | g64131 | [
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<p>My little's MCAR test revealed chi-square = 27.120, DF = 1974, and sig. = 1.000.
74 items and 151 cases.
So, can I concluded that the data were missing completely at random since the p-value is not significant.
And, is that any issue with my p-value because I find that it was impossible to get a p = 0 or 1.</p> | g64132 | [
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<p>I have an (offline) advertising campaign that I'm running in one city. I'm trying to figure out how to answer the following questions:</p>
<ol>
<li><p>What are the chances that the advertising campaign has no positive effect?</p></li>
<li><p>What are the chances that the advertising campaign increased sales by at l... | g64133 | [
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<p>Suppose there are three points in 3D space, each with coordinates $A_i=(X_i,Y_i,Z_i)\leadsto \mathcal{N}(\mu_i,\tau^2\mathbb{I}_3)$. We compute the distance between the three points, e.g. $D_{ij} = \|A_i-A_j\|$. Then $D_{ij}/(\sqrt{2}\tau)$ follows a noncentral chi distribution with 3 degrees of freedom, and noncent... | g64134 | [
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<p>Given the variables $X$ and $Y$, which are correlated, $X\ge0$, $Y\ge0$ and each follow a gamma distribution with different shape parameters, i.e.,$X\sim\Gamma(a_1,\alpha)$ and $Y\sim\Gamma(a_2,\alpha)$. I understood that the Joint PDF $f_{X,Y}(x,y)$ can be obtained by making use of the McKay's bivariate Gamma distr... | g64135 | [
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<p>Imagine we test 2 dependent samples: For example, we first test an overall sample (treatment vs. control) and then a subset of this overall sample (treatment sbg vs. control sbg). In this case, we are performing 2 tests. But, they are not independent.
Hence, $\alpha^*$ is not equal to $1-(1-\alpha)^2$. Do you know h... | g22128 | [
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<p>I recorded risk factors for a given disease and then compared them between the two genders. I have calculated the p value as well to assess the statistical significance. In the current scenario, would it be OK/ appropriate if I calculate the odds ratio as well, which tell me the odds of developing a disease in one o... | g64136 | [
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<p>I have a Hidden Markov Model for binary classification and two datasets:</p>
<ul>
<li>positive instances</li>
<li>negative instances (way more data than the positive ones)</li>
</ul>
<p>In order to evaluate the performance of the model I did the following:</p>
<ol>
<li>Do leave one out cross validation over the p... | g22132 | [
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<p>I am not sure what this specific type is called so I will describe what I did in Excel. This was employee data: </p>
<ol>
<li>Sample size is prescribed. Example: n = 100 (though the population N = 10000)</li>
<li>Sort entire population (N) by by two fields, for example Organization and Employee Type , and get perc... | g64137 | [
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<p>I calculated the least-squares means and standard errors for a linear mixed model. I am attempting to plot the lsmeans and standard errors for the combinations of the two factors, but I notice a discrepancy in what is allegedly significant.</p>
<pre><code>> library(lmerTest)
> print(summary(data_dist))
ID... | g64138 | [
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<p>I implemented AVAS on my data in R. </p>
<p>$y = \text{weight}$,
$x =$ matrix with several predictors, e.g. age, height, gender. </p>
<p>From what I understand, AVAS estimates transformations of $x$ and $y$ such that the regression of $y$ on $x$ is approximately linear with constant variance.</p>
<p>I followed <... | g64139 | [
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<p>In studying Kullback–Leibler distance, there are two things we learn very quickly is that it does not respect neither the triangle inequality nor the symmetry, required properties of a metric.</p>
<p>My question is whether there is any metric of probability density functions that fulfil <a href="https://en.wikipedi... | g18782 | [
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<p>The following data are mandible lengths (mm) of 10 male and 10 female golden jackals Canis aureus in the collection at the British Natural History Museum. The two samples are independent. </p>
<pre><code>Males: 120 107 110 116 114 111 113 117 114 112
Females: 110 111 107 108 110 105 107 106 111 111
</code></pr... | g64140 | [
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<p>When doing sequence analysis using a package such as <code>TraMineR</code>, one can calculate a clustering based on Optimal Matching (OM) distances, and then plot it as a tree. I use agnes to do it, roughly like this:</p>
<pre><code>sequences.sts <- seqdef(sequences.sts)
ccost <- seqsubm(sequences.sts, method... | g64141 | [
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<p>I have a response variable of percent cover of vegetation in a quadrat. I have tried to arcsine square this data as recommended in the Crawley R book but I am not getting good fit. The data is zero-inflated with about half the data points being zero. Can someone point me in the right direction for how to approach ... | g22137 | [
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<p>When does naive Bayes perform poorly? Can you think of any specific examples of problems in which it wouldn't work? We can ignore not having seen given data points before as that can be corrected by Laplace smoothing.</p> | g64142 | [
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<p>I am reading <a href="http://www.columbia.edu/~so33/SusDev/Lecture_4.pdf">this note</a>.</p>
<p>On page 2, it states:</p>
<blockquote>
<p>"How much of the variance in the data is explained by a given regression model?"</p>
<p>"Regression interpretation is about the mean of the coefficients; inference is abo... | g22139 | [
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<p>I have user, movie data for recommendation purpose, where some of the users have rated relatively very fewer movies in compare to other users.I learned that while using Pearson Correlation to calculate the similarity between the users, weighting technique could be employed to mitigate the effects of above situation.... | g64143 | [
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<p>An infinite number of opaque jars are each filled with N spheres, p N of which are gold and (1 - p) N of which are tungsten (0 ≤ p < 1; N > 0). You have drawn from a jar x spheres without replacement, all of which were made of tungsten (0 < x < N). N and E[p] are constant across jars.</p>
<p>Should you (a)... | g64144 | [
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<p>I've calculated required power for a study in the past but I've come upon a scenario that I can't figure out quite how to do it. Pretty much I have a procedure that results in a particular complication 15% of the time. My study uses an imaging intervention on all study participants that we believe can predict the oc... | g64145 | [
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<p>Hope I manage to explain this simply enough so I don't end up confusing myself and you along with me! </p>
<p>I've measured a variable (rate of soil respiration) throughout the day. However my variable is influenced by another variable (soil temperature) which naturally increases as the day progresses. At the same ... | g64146 | [
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<p>Right, so I've got data in the following format...</p>
<pre><code>Sample Observed Expected.by.chance Fold.enrichment
Samp1 21 10 2.1
Samp2 35 13 2.69
Samp3 45 11 4.09
</code></pre>
<p>For each sample, I am l... | g64147 | [
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<p>To motivate a paper in game-theory I need examples of real-life uses of the <strong>inverse</strong> uniform distribution (<a href="http://en.wikipedia.org/wiki/Inverse_distribution#Inverse_uniform_distribution" rel="nofollow">http://en.wikipedia.org/wiki/Inverse_distribution#Inverse_uniform_distribution</a>). Which... | g64148 | [
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-0.04062507301568985,
-0.009388817474246025,
-0.004422818310558796,
-0.05705750361084938,
0.014088520780205727,
-0.008613940328359604,
0.04001243785023689,
-0.00749924685806036,
-0.03830011188983917,
0.04035285860300064,
-0.0... |
<p>I have a question concerning the comparison of negative binomial regression models in SPSS. I need to compare two models to check whether the second model significantly increases the fit of the model/explained variance in the dependent. The second model contains 1 extra predictor and I want to know whether this pred... | g64149 | [
0.006712771020829678,
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<p>I am doing subset selection for multiple regression model with "exhaustive" search. </p>
<p>What is the most appropriate way to compare two such models based on subsets which are nested? I was thinking to compare their residual sum of squares but not sure which test to use. Is it possible to use unpaired t-test for... | g64150 | [
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<p>If your regression model has heteroskedastic residuals, one should calculate White Standard Errors that correct for the mentioned heteroskedasticity. If the residuals are also autocorrelated one should use Newey-West Standard Errors. </p>
<p>However, I was thinking of another alternative. How about turning your ... | g64151 | [
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... |
<p>I am using multilevel modeling (xtmixed in Stata) to predict a quasi-continuous level-3 DV using a dichotomous IV (sex). My results are markedly different from what the basic difference between men and women would suggest. No problem there - this is why I'm using MLM and not OLS regression or a t-test.</p>
<p>Howev... | g64152 | [
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<p>I sent a postal questionnaire to 1618 schools. In total, 220 responded (13.6% response rate). For one question, which had Yes, No and Don't know response options, 217 schools responded (Yes=85, No=127, Don't know=5). I'd like to find the margin of error for Yes, No and Don't know (with 95% confidence) so I can work ... | g64153 | [
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<p>I am trying to perform document-level clustering. I constructed the term-document frequency matrix and I am trying to cluster these high dimensional vectors using k-means. Instead of directly clustering, what I did was to first apply LSA's (Latent Semantic Analysis) singular vector decomposition to obtain the U,S,Vt... | g10519 | [
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<p>I plotted a set of about 200,000 points and got a triangular shaped region. The shape is roughly like the triangle made by the points $(1,0)$, $(0,1)$ and $(0,0)$. My points have the property that if $(a,b)$ is a member of the set, then $(b,a)$ is also a member. I wanted to do a regression on the variable associa... | g22157 | [
0.0323752835392952,
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<p>I try to analyze if the addition of a biomarker to an established model could improve reclassification. Usually I calculate the NRI manually, but I was wondering if there is a macro that could do this and also IDI (which I can't do it by hand) in SPSS?
Thank you</p> | g64154 | [
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<p>I'm running a hierarchical regression model in SPSS. I used multiple imputation to handle missing data (14 imputations) and then ran the regression. The regression is:</p>
<p>Step 1: 3 dummy coded predictors, 2 continuous predictors
Step 2: 1 continuous predictor
DV: Continuous outcome</p>
<p>SPSS generated indivi... | g64155 | [
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<p>Can you give me examples of machine learning algorithms which learn from the statistical properties of the dataset not the individual observations itself i.e. employ the statistical query model?</p> | g64156 | [
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<p>I have fit a linear model using the <code>lm</code> function in R...</p>
<pre><code>model <- lm(trans.baseline.CD4 ~ hiv$Julian.Date)
</code></pre>
<p>... and I would like to assess the quality of the model's fit. Is there a function in R that will do this? Alternatively, I found a formula for goodness-of-fit i... | g64157 | [
0.032239049673080444,
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0.0... |
<p>I am trying to perform Mann-Whitney U-Test on rather large samples (N=53). Is anybody aware of any resource for critical values for n>30, please? Thank you.</p> | g22162 | [
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<p>Is it possible to have a (multiple) regression equation with two or more dependent variables? Sure, you could run two separate regression equations, one for each DV, but that doesn't seem like it would capture any relationship between the two DVs?</p> | g41639 | [
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<p>Lets say we have $T$ tags and $N$ articles and lets say that for each tag $t_{i}$ we know that it has tagged $n_{i}$ articles. Meaning that, frequency($t_{i}$)=$n_{i}$.</p>
<p>Given the above information how could I compute the probability P($t_{i}$ to tag a new article) or more generally how could I go about scori... | g64158 | [
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<p>I'm making a random forest classifier.
In every tutorial, there is a very simple example of how to calculate entropy with Boolean attributes.<br>
In my problem I have attribute values that are calculated by tf-idf schema, and values are real numbers.<br>
Is there some clever way of applying an information gain funct... | g22167 | [
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0.061971329152584076,
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<p>I have 3 different populations, represented by their specific means and SDs. So I have 3 means with their 3 SDs:</p>
<p>Mean1 = 5.5 SD1 = 0.65</p>
<p>Mean2 = 5.9 SD2 = 0.32</p>
<p>Mean3 = 5.4 SD3 = 0.49 </p>
<p>If I want to obtain a sample size (n) of 1000 randomly of each population according to their respec... | g64159 | [
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0.007519090082496405,
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0.038344... |
<p>I'm using G*Power to obtain an estimation of the sample size required.</p>
<p>I have a 3×3 within-subject design (i.e., two factors,with 3 levels each).
I used the partial eta squared of one of my previous studies to obtain the effect size <em>F</em>.</p>
<p>I'm not sure what value to insert in the number o... | g22168 | [
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0.0119290417060256,
-0.03060568869113922,
0.008858376182615757,
0.031272... |
<p>When plotting two kernel desitiy estimates into the same frame</p>
<pre><code>plot(density(all4[,3],kernel="epanechnikov"),col='red',ylim=c(0,0.4),xlim=c(-50,50))
lines(density(all2[,3],kernel="epanechnikov"),col="blue",ylim=c(0,0.4),xlim=c(-50,50))
</code></pre>
<p>the result looks like this:</p>
<p><img src="ht... | g64160 | [
0.061131250113248825,
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0.02063675969839096,
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0.05564999580383301,
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<p>Suppose we have a time series $X_t$ s.t. $X_t \sim^{iid} (0,1)$.</p>
<p>How do you prove that if $ X_t \sim^{iid} (0,1) $, then $ E(X_t^{2}X_{t-j}^{2}) = E(X_t^{2})E(X_{t-j}^{2})$?</p>
<p>Or, I guess, if $X,Y\sim^{iid} (0,1)$ (that is, $E(XY)=E(X)E(Y)$), why then is it that $E(X^2Y^2)=E(X^2)E(Y^2)$?</p>
<p>This s... | g49692 | [
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0.015059730038046837,
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0.04979198798537254,
0.06113576516509056,
0.031... |
<p>I'm working in a piece of software designed for satellite image classification based on various features of objects in the image. The software provides various built-in features like the mean of the values in the object, the maximum and minimum of the values etc. However, I want to use the median of the values.</p>
... | g64161 | [
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-0.03403017669916153,
0.010048780590295792,
0.05114253610372543,
0.09375820308923721,
0.0096... |
<p>Suppose we are to estimate a expectation problem $E(f(X))$, where $X$ is a random variable with known distribution, by simulation and Large Law of numbers estimator. <a href="http://en.wikipedia.org/wiki/Antithetic_variates" rel="nofollow">Antithetic method</a> is a way to reduce variance of estimator in such cases.... | g64162 | [
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0.023276837542653084,
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0... |
<p>I'm testing a new instrument with the traditional instrument and taking measurements on the same subject using both instruments. I want to be able to make a statement that "at least 95% of the differences between the two is no more than 0.05 units". </p>
<p>To answer this, I did some searching, and it seems that a ... | g64163 | [
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0.04339384660124779,
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-... |
<p>I am currently looking at trying to find high correlations in a series of data. I initially just thought I could check the correlation of the data and choose those with the highest correlation but this is being affected by a small number of points. </p>
<p><img src="http://i.imgur.com/pXSOzEy.png" alt="Correlation ... | g64164 | [
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0... |
<p>I am writing code to prepare for running a logistic regression on real data. I have sample data for all my IVs but not for the outcome variable. There are many strong dependencies among the IVs but I have a lot of data points.</p>
<p>I created <strong>fake</strong> outcome data that is dependent only on a single IV... | g64165 | [
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0.06332850456237793,
0.05368255078792572,
0.02... |
<p>I was reading OkTrends and <a href="http://blog.okcupid.com/index.php/page/3/" rel="nofollow">came across this</a>: </p>
<blockquote>
<p>In fact, 32% of successful couples
agreed on all of them—which is 3.7×
the rate of simple coincidence.</p>
</blockquote>
<p>So, my question is: what is simple coincidence? ... | g64166 | [
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0.0033632153645157814,
-0.07801803946495056,
0.031337760388851166,
0.04197077080607414,
-0.0... |
<p>I need to run a logistic regression with a binary response variable and a categorical explanatory variable. </p>
<p>My explanatory variable has 3 levels:</p>
<ul>
<li>Forest </li>
<li>Plantation1</li>
<li>Plantation2</li>
</ul>
<p>I would like to find a way to test the significance of all 3 possible contrasts:... | g64167 | [
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-0.004803548101335764,
-0.0057843392714858055,
0.05832625925540924,
0.01753588579595089,
... |
<p>For my research I am doing classification on the dataset of three variables.</p>
<p>I run unsupervised clustering (based on a histogram peak technique of cluster analysis)and the result I evaluated visually and saw that it was not very good. I tried also supervised classification (minimum distance to means), and un... | g41663 | [
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0.0349... |
<p>So I'm trying to study for an exam and I'm not sure how to interpret this probit regression I ran on Stata. The data is on loan approval and white is a dummy variable that =1 if a person was white, and =0 if the person was not. Any help on how to read this would be greatly appreciated. What I'm mostly looking for is... | g64168 | [
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0.028295891359448433,
0.04316282644867897,
0.007333759218454361,
-0.007... |
<p>I have data with some factors, say, a list of music albums by different artists which are owned by me. I counted the unique factors to arrive at a list of artist names with an associated count of albums, like this:</p>
<pre><code>name count
Johnny Cash 10
The Beatles 7
Blur 6
Gorillaz 3
The Good, the Bad a... | g32315 | [
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0.03160541132092476,
0.07442720234394073,
0.... |
<p>I'm working on a dataset with 200 000+ samples and approximately 50 features per sample.
Among these 50 features you have 10 continuous variables and the rest of it are categorical variables (countries, languages, scientific fields etc...). For these categorical variables, you have for example 150 different countrie... | g64169 | [
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0.004230095539242029,
0.03183839097619057,
0.011662101373076439,
... |
<p>I want to do a discriminant analysis for my study. This study consist of one dependent variable and 8 independent variables. The dependent variable is categorical and has 2 groups. The independent variable are in the form of likert scale. Each independent variable has many items in it in the form of a likert scale. ... | g64170 | [
-0.01254306174814701,
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-0.0150508563965559,
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0.010960984975099564,
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... |
<p>I'm currently doing a simple re-sampling study where I compare different methods for generating the confidence interval for linear regression models. I'm trying to follow <a href="http://onlinelibrary.wiley.com/doi/10.1002/sim.2673/abstract" rel="nofollow">Burton et. al's (2006)</a> recommendation and I'm mostly int... | g64171 | [
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<p>I have a mixed 3x2x2x2 ANCOVA design.
The first factor is an within subject factor, 3 types of feedback.
The other 3 factors are all between subject:sex, age, feedback source.
There is still one covariate.</p>
<p>Before I run the ANCOVA, I think I should check the assumption of homogeneity of regression slope. How... | g22177 | [
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0.02... |
<p>I conducted confirmatory factor analysis for a data set of sample size 583 (number of items= 72) via Amos 16. Though the program reports "minimum was achieved", there is no fit index indicating poor or good model fit. That is, program does not provide any of the following indices, e.g. CFI (comparative fit index), T... | g64172 | [
0.028323637321591377,
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-0.0... |
<p>$$ f(x)=\frac{1}{2}e^{-|x|} , -\infty < x < \infty ;
Y=|X|^{3} \
$$</p>
<p>I understand that I have to divide it in two parts and write it in cdf form
$$
F_{x}(y^\frac{1}{3}) - F_{x}(-y^\frac{1}{3}) \
$$
The issue I have is to get pdf $f_{Y}(y)$ for $$-\infty < y < 0 $$ of function $$\frac{1}{2}e^{-|x|... | g64173 | [
-0.006845172494649887,
0.011591754853725433,
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... |
<p>I'm mining social networks point data to use with GIS (Geographic information system). Obviously there are going to be more posts in areas with higher population which, if uncorrected, would end up resulting in a generalized population map. I'm trying to figure out how one may account for this bias. Would it be as s... | g64174 | [
-0.02991938218474388,
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<p>I have an independent variable called "quality"; this variable has 3 modalities of response (bad quality; medium quality; high quality). I want to introduce this independent variable into my multiple linear regression. When I have a binary independent variable (dummy variable, I can code <code>0</code> / <code>1</co... | g49516 | [
-0.010610902681946754,
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... |
<p>I have more of a theoretical question regarding the use of dummy regression. I know that one level of a categorical variable is used as a reference group, and the means of all subsequent levels are compared to the mean of the reference group, and that these differences give different p-values.</p>
<p>I understand h... | g22181 | [
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-0.024487968534231186,
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0.0505705326795578,
0.009598543867468834,
0.07... |
<p>I have two variables for some districts in the UK:</p>
<ol>
<li>Number of crimes per habitant</li>
<li>Median yearly income</li>
</ol>
<p>Here's what it looks like:
<img src="http://i.stack.imgur.com/dDKM9.png" alt="Plot of number of crimes per habitant in function of the median yearly income"></p>
<p>I would lik... | g41672 | [
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-0.01... |
<p>I need to get 500 samples for my predicted returns series (predictions from Garch models). I know I can use <code>TSboot</code> (for block bootstrap) which is recommended for time series. But my problem is this:
the usage for this command is the following,</p>
<pre><code>tsboot(tseries, statistic, R, l = NULL, sim... | g23516 | [
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0.005400126799941063,
0.00014621367154177278,
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0.05612775683403015,
0.06081000342965126,
0... |
<p>I'm running some A/B tests on my site and am using varying visit distributions to minimize risk. Here is an example of one of the test that I have running:</p>
<p>Control: 10% of traffic;
Variation 1: 45% of traffic;
Variation 2: 45% of traffic;</p>
<p>I'm looking to determine if either of the variations perform b... | g64175 | [
-0.03363293409347534,
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-0.0007035100134089589,
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0.036353692412376404,
0.01... |
<p>I am learning a statistical model, which includes a very large amount of parameters, which results in the risk of over-fitting. If I first learn the model parameters from the data, and then simply remove some of the parameters according to whichever criterion, would I be reducing the chance for overfitting? </p>
<p... | g41681 | [
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0.005710347555577755,
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0.04718010127544403,
0.02369675... |
<p>I am working with an experiment on several genes (#41350) based on two factors: <code>Lcells</code> (levels: <code>"pos"</code>, <code>"neg"</code>), <code>microbe</code>(levels: <code>"CR"</code>, <code>"GF"</code>). I have implemented ANOVA test (<code>aov</code>) for each individual gene separately comparing <cod... | g64176 | [
0.01232331246137619,
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0.017703991383314133,
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0.04059581458568573,
0.019314534962177277,
0.... |
<p>I've got a situation where I'm willing to assume that
$$
Q_t = Pe^{-k^f t} + (1-P)e^{-k^s t}
$$
This is a double-exponential decay model; there is a fast pool and a slow pool. I don't know $P$, $k^f$ or $k^s$, but I observe $Q_t$ ($\in \{0,1\}$) and a bunch of covariates $D$ (dummies, these are confounders) and $X... | g64177 | [
-0.026477228850126266,
-0.04899163544178009,
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0.04059800133109093,
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0.039717525243759155,
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0.043544549494981766,
0.08083615452051163,
0.0... |
<p>How do I calculate with Excel's formula to answer the question:</p>
<blockquote>
<p>What is the probability for a student's point is less than 560 by
using excel?</p>
</blockquote>
<p>I know how to answer the question<br>
- What is the probability for a student's point is higher than 620.<br>
The answer is "=1... | g64178 | [
-0.0026977653615176678,
0.025061696767807007,
0.020202795043587685,
0.045325249433517456,
-0.022407639771699905,
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0.04894835501909256,
0.058836858719587326,
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-0.013940212316811085,
-0.005468013230711222,
0.08652086555957794,
0.062322571873664856,
... |
<p>I'm using Weka multilayer-perceptron classifier to do classifications. I want to know after exactly how many epochs the neural network converges(weights don't update any more). I'm using its java API, but I cannot figure out a way to get the weight variables and test whether they're still changing or not in a loop. ... | g22184 | [
-0.0025361115112900734,
-0.017586220055818558,
0.0060140471905469894,
-0.08011119812726974,
0.00782894529402256,
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0.030992839485406876,
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0.005407401360571384,
-0.05369266867637634,
0.0371275432407856,
0.013051239773631096,
0.0... |
<p>Im using gradient-descent-based algorithm for my problem where<br>
<strong>new_value = old_value - Step_size*Gradient</strong> </p>
<p>For exit criteria, im determining the change in fn value between iteration i.e.,<br>
if <strong>(old_Objective_fn_value - new_Objective_fn_value) <=0.001</strong> exist otherwis... | g22185 | [
0.02560722827911377,
-0.00393085228279233,
0.0026151295751333237,
0.030316699296236038,
0.0010874730069190264,
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0.001309090992435813,
-0.09073250740766525,
0.046025462448596954,
0.05218290537595749,
0.0... |
<p>What are some good, established methods for estimating the probability density function (denoted $f(x)$ from here on) of a continuous distribution, given a sample of points $x_1, \ldots, x_n$ drawn from it? I primarily need the PDF for plotting purposes.</p>
<p>The naive approach would be using a histogram, i.e. c... | g64179 | [
0.03303451091051102,
0.007870608940720558,
-0.005508303176611662,
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0.02461615391075611,
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-0.018415508791804314,
0.022452665492892265,
-0.02664615400135517,
0.09872446954250336,
-0.0... |
<p>As the R very beginner I'd like to ask if anyone could help me with the following problem?</p>
<pre><code>library(foreign)
reg1 <- read.spss("URL of the spss file")
library(nlme)
model1 <- gls(v1 ~ x1 + x2 + x3 + x4 + x5 + x6, correlation=corARMA(p=1), data=reg1)
</code></pre>
<p><strong>Error in eval(expr, ... | g22187 | [
0.03259260952472687,
-0.00850529782474041,
0.011484096758067608,
-0.0833204910159111,
0.06394890695810318,
0.013954034075140953,
0.0035336511209607124,
0.050065863877534866,
-0.02216731384396553,
-0.007093247026205063,
0.01732729747891426,
0.01596732623875141,
0.05415875464677811,
0.011162... |
<p>A class teacher has the following absentee record of students:</p>
<pre><code>No. of days 0-6 6-10 10-14 14-20 20-28 28-30 38- 40
No. of students 11 10 7 4 4 3 1
</code></pre>
<p>What will be the mean no. of days a student was absent?
I am unable to under... | g47986 | [
-0.03404739871621132,
0.0073210205882787704,
-0.037337787449359894,
-0.0745171308517456,
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0.02228710427880287,
0.06410058587789536,
0.02703714929521084,
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-0.036972228437662125,
-0.04242206737399101,
0.019027534872293472,
0.04200432449579239,
0.00... |
<p>Suppose $(\mathscr{X,B,P})$ is a <a href="http://en.wikipedia.org/wiki/Statistical_model" rel="nofollow">statistical model</a> and $(\mathscr{X,B,P})^n$ is the corresponding model for sampling with replacement. My text book states that its <a href="http://en.wikipedia.org/wiki/Completeness_%28statistics%29" rel="nof... | g64180 | [
0.04627795144915581,
-0.022831197828054428,
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0.046358682215213776,
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0.04679235816001892,
0.004781410563737154,
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0.008437354117631912,
-0.011156347580254078,
-0.03937331214547157,
0.004509730730205774,
0.... |
<p>When we train a model for classification, we call it a 'classifier'. When we train a model for regression, what do we call it?</p>
<p>The only thing I could think of was "regression model" or just "model", because it doesn't sound like correct English to say "the regression predicted a value of 0.5", whereas it doe... | g22189 | [
0.014134266413748264,
-0.037811554968357086,
0.006753196474164724,
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0.07573510706424713,
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0.04286331683397293,
0.055494558066129684,
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-0.07552127540111542,
-0.004118538461625576,
0.04305566847324371,
0.0848754271864891,
0.0004... |
<p>I keep reading that people are estimating the Google+ population based on <a href="http://news.cnet.com/8301-30685_3-20078672-264/study-google-population-explodes-to-10-million/">statistical estimates</a>:</p>
<blockquote>
<p>My model is simple. I start with US Census Bureau data about surname popularity in the U... | g64181 | [
-0.047935426235198975,
0.05377703160047531,
-0.021770330145955086,
0.004494376480579376,
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0.026508763432502747,
0.06074190139770508,
0.03935449197888374,
-0.00982389971613884,
-0.04075837507843971,
0.014883976429700851,
0.01736789010465145,
0.01... |
<p>I have implemented a semi-supervised Naive Bayes that makes use of the EM algorithm to iteratively learn from unlabeled data in a text classification problem, but I am not sure of the processing done in the Maximization step. </p>
<p>According to the page 7 of <a href="https://pal.sri.com/CALOfiles/cstore/PAL-publi... | g22191 | [
-0.01688190922141075,
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0.023325208574533463,
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0.0075127179734408855,
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-0.033028602600097656,
0.06289959698915482,
-0.04147573560476303,
0.007015624549239874,
0.04488353058695793,
0.01803319714963436,
0.060073621571063995,
0.05... |
<p>As I am not very experienced in financial econometrics I need help in writing R code for MC simulation for VaR estimation. Namely, reading some books and reference manuals for R packages, I ended up with the following code:</p>
<p>-constructing hypothetical portfolio consisting of x1 and x2</p>
<pre><code>p<-ma... | g42449 | [
0.027890410274267197,
-0.04606156796216965,
0.014263279736042023,
-0.04462014138698578,
0.02134479209780693,
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0.017802266404032707,
0.006446943152695894,
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0.035951726138591766,
-0.0030740040820091963,
-0.003584732534363866,
0.012681885622441769,
... |
<p>I am trying to write a simple likelihood function to calculate the binomial probability of $X$ successes from $N$ trials. The problem is that the expected proportion of successes ($p_X$) is itself a binomially-distributed variable with $Y$ successes and $M$ trials. </p>
<p>That is, there a simple way to calculate $... | g22192 | [
-0.01486313994973898,
-0.019558385014533997,
-0.01153307780623436,
0.027026593685150146,
0.030588645488023758,
0.009471849538385868,
0.009752140380442142,
0.02020661160349846,
0.0018252675654366612,
-0.03269295021891594,
-0.00031677447259426117,
-0.004351545590907335,
0.03509185463190079,
... |
<p>I am doing some problems on hypothesis tests on the variance, using a $\chi^2$ distribution. I need to find the power of the test, and I tried to write my own code in
R. </p>
<p>I don't know how to express non-centrality parameter in terms of other known values like sample size or sample variance. I was looking at... | g64182 | [
0.057345468550920486,
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0.009941904805600643,
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0.04787558689713478,
-0.028987053781747818,
0... |
<p>Is there a package or library that can help me suggest a formula given the independent variables which will work well in glm, for example this formula can be something like x^2+log(y)+Z, it does not necessarily need to be the standard linear model x+y+z in order to explain a variable.</p> | g41696 | [
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0.013073875568807125,
0.021686110645532608,
0.04125455394387245,
0.023840680718421936... |
<p>I have a similar problem area as mentioned <a href="http://stats.stackexchange.com/questions/70106/trajectory-clustering-which-clustering-method">Trajectory Clustering: Which Clustering Method?</a> . As per suggestion to use dynamic time warping for aligning the time series, are there any differences in performance ... | g64183 | [
0.0017109168693423271,
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0.012467672117054462,
0.027750568464398384,
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0.01284730527549982,
0.018581468611955643,
0.09955742210149765,
-0.008267669007182121,
0.09868165850639343,
... |
<p>Hey guys. I got two images from video frames. They have a certain portion of overlap. After warping one of them, I'm currently trying to blend them together. In other words, I would like to stitch them together. But I don't know how to accomplish that. Can anybody please give me some help? Thank you!<br>
Let's say ... | g64184 | [
0.019264722242951393,
0.003031907370314002,
0.002843049354851246,
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0.07884079217910767,
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... |
<p>In Meta analysis, how to interpret the Egger’s linear regression method intercept (B0) 10.34631, 95% confidence interval (1.05905, 19.63357), with t=3.54535, df=3. The 1-tailed p-value (recommended) is 0.01911, and the 2-tailed p-value is 0.03822. I am a medical doctor.
<strong>*<em>Updated</em>*</strong>
The data ... | g41699 | [
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<p>When using natural (i.e. restricted) cubic splines, the basis functions created are highly collinear, and when used in a regression seem to produce very high VIF (variance inflation factor) statistics, signaling multicollinearity. When one is considering the case of a model for prediction purposes, is this an issue?... | g64185 | [
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0.0064... |
<p>If we have $n > 1000$ units to sample from, how can we estimate the number of subsets of a certain size, since the number is too much for <code>R</code> to handle?</p>
<p>What I mean is, if I can't use <code>choose(1000, 10)</code> to get the total number of subsets of size $10$, is there a way to estimate it?</... | g64186 | [
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<p>my question is as follows: Can the poisson distribution be used to analyze continuous data as well as discrete data?</p>
<p>I have a few data sets where response variables are continuous, but resemble a poisson distribution rather than a normal distribution. However, the poisson distribution is a discrete distribut... | g22197 | [
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<p>While preparing for a talk I will give soon, I recently started digging into two major (Free) tools for interactive data visualization: <a href="http://www.ggobi.org/">GGobi</a> and <a href="http://rosuda.org/mondrian/">mondrian</a> - both offer a great range of capabilities (even if they're a bit buggy).</p>
<p>I... | g64187 | [
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<p>I've been experimenting with the rgl library to draw 3d plots of some linear models. The package works really nicely, but I have a question on the math behind how one draws a plane (using planes3d) that shows the 'fit' (predicted values ) of the linear model, for a model with 2 parameters.</p>
<p>The R package docu... | g64188 | [
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<p>I found R function <a href="http://rgm2.lab.nig.ac.jp/RGM2/func.php?rd_id=parcor%3aridge.cvunction" rel="nofollow">ridge.cv</a> very useful.</p>
<p>I would like to implement the equivalent function in MATLAB. As a starting point, I used MATLAB function <code>b0 = ridge(y,X,k,scale)</code>, however it gives complete... | g64189 | [
0.05249601602554321,
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<p>What's the similarities and differences between parametric regression analysis and estimation theory?</p>
<p>I notice that they are both about parameter estimation, and both require some models for estimation.</p>
<p>One difference is that regress requires both independent and dependent variables, while estimation... | g4479 | [
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<p>I have carried out a clustering of coordinate points (longitude, latitude) and found surprising, adverse results from clustering criteria for the optimal number of clusters. The criteria are taken from the <code>clusterCrit()</code> package. The points which I am trying to cluster on a plot (the geographic character... | g64190 | [
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-0.00... |
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