question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p><em>Adapted from my <a href="http://stats.stackexchange.com/questions/9508/glmm-questions-of-appropriateness-post-hoc-tests-effects-size-and-confidence">previous, unanswered question</a>:</em></p>
<p>I'm analyzing the results of a hormone manipulation experiment. I measured a number of variables at three times in t... | g61632 | [
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<p>I am conducting a meta-analysis and am trying to produce a forest plot displaying the mean weighted effect size with and without the outliers. I looked on so many websites and tried a lot of syntaxes, however, didn't really find anything about what I am looking for.</p>
<p>Assume there are 10 studies in the meta-an... | g49422 | [
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<p>I'm not really a statistician, but rather in need of statistical guidance, so I hope this is not too much of an off-topic question.</p>
<p>I'm writing a master's thesis (computational linguistics/NLP), and I've got several result sets I'm comparing. Now, I didn't really formulate a null and an alternative hypothesi... | g18297 | [
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<p>I am trying to create a model using the <code>lmer</code> function. The model will contain the continuous response term "Average.profit" and explanatory terms "Type", "OtherType," and "Game" all 3 of which are binary. I also would like to include the two way interaction terms, these should have 4 possible levels <co... | g41718 | [
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<p>I understand that in the dual form of the model for support vector machines, the feature vectors are expressed only as a dot product. Mapping the feature vectors to a higher dimensional space can accommodate classes that are not linearly separable in the original feature space, but calculating this mapping and worki... | g61633 | [
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<p>I have a question / confusion about stationary series required for modeling with ARIMA(X). I am thinking of this more in terms of inference (effect of an intervention), but would like to know if forecasting versus inference makes any difference in the response.</p>
<p><strong>Question:</strong></p>
<p>All the intr... | g61634 | [
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<p>Suppose I have survival data coming from a cohort study. The outcome of interest is death and a subject can die either because of cancer or because of other causes. The two outcomes under study are therefore mutually exclusive.</p>
<p>Now, suppose that I'm interested in assessing whether the magnitude of the associ... | g49100 | [
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<p>I would like to calculate the confidence intervals for prevalence differences. If I have the CIs for the prevalence, can I simply subtract the upper limit of one Ci from the upper limit of the other, and do the same for the lower limits as well? Or is calculating the CIs more complicated than this? </p> | g61635 | [
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<p>I am testing many (500,000) genetic variants, and the tests are FDR corrected and give me a q-value. Normally I would just call everything with q < .05 significant.
But in this case I am testing those same genetic variants in two other related experiments (not using exactly the same individuals, but the samples m... | g18301 | [
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<p>I have data for Hydrogen Sulfide Series, see here <a href="http://www.wikiupload.com/Y4WAZJ4Z0IMTK7V" rel="nofollow">http://www.wikiupload.com/Y4WAZJ4Z0IMTK7V</a>
I applied a Box-Cox Transformation with $\lambda =1/3$ to try to stabilize the data.
I plotted a few sample PACF/ACF to show that the series is not statio... | g28247 | [
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<p>I would like to know if the linear-SVM-without-offset solver:
$$\min \frac{1}{2}\|w\|^2+C\sum_{i=1}^m \xi_i, \quad \mbox{s.t.}\quad y_iw^\top x_i \geq 1-\xi_i, \quad \xi_i\geq 0 \quad \forall i=1,\ldots,m.$$
can be applied to classify linearly separable data, where the hyperplane does not pass through the origin.</p... | g61636 | [
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<p>I have a set of questions for my research on Importance Menu Design towards Customer Purchasing Decision. After running Cronbach's Alpha for reliability test, it turned out less than 0.5
These are the set of questions in the survey.</p>
<blockquote>
<p>Psychology Effects</p>
<ol>
<li>I read the menu thoro... | g61637 | [
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<p>The "classical" $100(1-\alpha)\%$-confidence interval starts from the Student's t statistic $$t=\frac{\bar{x}-\mu}{s/\sqrt{n}}.$$
Then, one obtains the desired result, e.g. $\bar{x}\pm t_{1-\alpha/2;n-1}\frac{s}{\sqrt{n}}$ by simple algebraic manipulation.</p>
<p>Here's my problem. I am using an approximation for $... | g61638 | [
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<p>I'd like to obtain a graphic representation of the correlations in articles I have gathered so far to easily explore the relationships between variables. I used to draw a (messy) graph but I have too much data now.</p>
<p>Basically, I have a table with:</p>
<ul>
<li>[0]: name of variable 1</li>
<li>[1]: name of va... | g48162 | [
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<p>I am familiar with terms like precision rate and recall rate from the machine learning literature, but recently I was reviewing a thesis which used the terms correctness and completeness. A quick Google search showed that these are used in some fields, such as image processing of remote sensing data. I'm interested ... | g18307 | [
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<p>I have data from a study where subjects were shown videos and asked to identify the contents as one of two options, as well as to rate their confidence of correct classification on a likert scale of 1 to 7.
Each subject was asked to perform this classification task multiple times, and given different video material ... | g25086 | [
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<p>Why does a cross-validation procedure overcome the problem of overfitting a model?</p> | g18309 | [
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<p>I need to compare an average value for an experimental group ($n=5$) with a reference value given by legislation. </p>
<p>But this reference value in given as [min - max] range.</p>
<p>Do I have to compare my average (with SD) with the two extremity of the range or could I use the mean value of the range ?</p> | g61639 | [
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<p>If a linear regression model has a constant term say 1 or 0.2, for example if the original model is $y(t) = 0.2 + ay(t-1) $, then what does this constant term imply? Will it hamper the estimates if the constant term is ignored? </p>
<p>The question is in terms of estimation of linear models using Maximum Likelihood... | g61640 | [
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<p>I have noticed that the confidence interval for predicted values in an linear regression tends to be narrow around the mean of the predictor and fat around the minimum and maximum values of the predictor. This can be seen in plots of these 4 linear regressions:</p>
<p><img src="http://i.stack.imgur.com/NhMqj.jpg" a... | g61641 | [
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<p>I am trying to use Gibbs Sampling to simulate a random sample from a joint distribution $f(\beta ,{{Z}_{1}},...,{{Z}_{75}},{{\lambda }_{1}},...,{{\lambda }_{75}})$, where the fully conditioned distribution function are:</p>
<p>$$\beta |{{Z}_{1}},...,{{Z}_{75}},{{\lambda }_{1}},...,{{\lambda }_{75}}\sim N\left( \fra... | g61642 | [
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<p><strong>My task is to develop a system that will take in a series of measurements and return the probability that an object is a type 1, type 2,... type n.</strong> I will refer to the system I have to create as a the classifier. I know all the possible types, so I know it must be one and only one of the types.</p... | g18310 | [
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<p>I am concerned about how unequipped most people are (both within and without academia) to properly employ standard model building methods such as linear regression and to interpret the results of these models. Both from my own observations and the literature, it is clear that most people are being poorly served by t... | g61643 | [
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<p>Suppose I'm trying to predict $Y$ (a real number) and I have $n$ experts with guesses $Y_1,...Y_n$. Each prediction is a reasonable guess as to the value of Y in itself (hence the name "expert"), but we should be able to come up with a better prediction for $Y$ by combining the experts' guesses. We could take our gu... | g61644 | [
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<p>It's hard for me to accept that Donald Rubin would ever come up with a true lemon of a technique. Yet that's my perception of the BESD<a href="http://www.stat-help.com/meta.pdf"> [1</a>, <a href="http://dash.harvard.edu/bitstream/handle/1/3199067/Rosenthal_ContrastsCorrelations.pdf">2]</a>, <a href="http://pareonli... | g48171 | [
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<p>I have multiple measurements of a point process: vectors of 0's and 1's.</p>
<p>I'm trying to gauge the similarity of the measurements, but have no idea how to proceed. Any suggestions?</p>
<p>Thanks!</p> | g61645 | [
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<p>A correlation coefficient is lower if there's a low variance in the characteristic of the sample. </p>
<p>For example, the correlation between IQ and school achievement follows this pattern. The correlation is lower if you only include students with similar school achievement. It gets higher if you include students... | g18316 | [
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<p>How can I put in a heading in the tree output when using <code>mvpart()</code>? I am using <code>xv="1se"</code>.</p>
<p>e.g. using the spider data in mvpart</p>
<p>fit<-mvpart(zora.spin~water+sand+moss+reft+twigs+herbs,data=spider)</p>
<p>from this I get a tree in R. And I am wondering how to "put in" a headi... | g18318 | [
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<p>I have a question regarding Latent Semantic Analysis - after performing SVD decomposition of term-document matrix and choosing some number of dimensions, I get the set of new document vectors. </p>
<p>Now, how can I calculate similarity between two documents? New document vectors contain negative values, and result... | g18319 | [
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<p>I'm trying to run a PCA on 15 variables for which I have a sample size of 10 (i.e. 15 columns x 10 rows, all continuous data). I have two problems: 1) more variables than cases and 2) some highly correlated variables (r > 0.9). I don't want to make arbitrary decisions about excluding variables prior to the PCA, but ... | g61646 | [
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<p>Consider an experiment where a square and diamond appear on a screen, one before the other, and participants are required to judge which came first. Manipulating the time interval between the two shapes and averaging responses to obtain the probability that participants respond "Square came first" typically yields s... | g18320 | [
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0.04588831216096878,
... |
<p>Hi I am fit a maxwell distribution and attempt to find the chi squared value in two cases:</p>
<blockquote>
<ol>
<li>When the data is normalized.</li>
<li>When the data is un-normalized.</li>
</ol>
</blockquote>
<p>My problem is that the two different cases give completely different values of chi-squared! ... | g3797 | [
0.08166864514350891,
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-0.01305423490703106,
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0.0034610142465680838,
0.0067255739122629166,
0.00879522692412138,
0.001215387019328773,
-0... |
<p>I am relatively new for PyMC and as a whole I have some less knowledge in probability. As far as I understand MCMC algorithm, its main task is to propose samples of parameters to the model (in iterations) until the probability of model is maximized (Please do correct me if my understanding is wrong). For example let... | g18322 | [
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0.030417704954743385,
... |
<p>Google searches for "census data by zipcode" have come up mostly empty of anything useful and I'm going in circles on the census's website, so I'm wondering where people commonly find this data for use in their analyses. </p> | g61647 | [
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0.06630618125200272,
0.016266... |
<p>Suppose we have yearly data representing the market share of three companies,
say A, B and C. In other words, we have observations:</p>
<p>$$
A_t, \; B_t \;\; \text{and} \;\; C_t \;\; \text{where} \; \; A_t+B_t+C_t = 1
$$
for $t = 1, \dots,T$.</p>
<p>Suppose that in year $t$ the market share of company A has ch... | g18323 | [
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-0.006600363180041313,
0.010549687780439854,
0.042785391211509705,
0.021359706297516823,
0... |
<p>What is the difference between and AR(1) term in an arima results with only and advertising spend regressor with 1 lag and a Koyck specification with only an advertising spend variable with 1 lag.</p>
<p>If I specified a model in autobox or auto.arima with only adspend and it's lag as predictors, would I calculate ... | g61648 | [
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0.0013655379880219698,
0.017148802056908607,
0.07424146682024002,
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<p>i) What is the main role of "only" trying to find orthogonal components in PCA? </p>
<p>I can understand, that we would not want a zero-solution as well as find directions that are orthogonal in order to explain most of the variance. When we look at the problem in terms of finding a projection matrix that preserves... | g61649 | [
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<p>The Bayesian information criterion is defined as $BIC = -2 \text{ln}(L) + k\text{ln}(n)$, where $L$ is the maximized likelihood of the data, and where $n$ is the sample size.</p>
<p>In case of a huge sample size, BIC tend to $\infty$.</p>
<p>Is there any transformation that needs to be done in order to compute the... | g61650 | [
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<p>Consider a sparse dataframe with lots of NA and a large number of explanatory variables and a response variable. The response variable doesn't contain any NA.</p>
<p>I want to clean this dataframe by discarding some of the explanatory variables having most of their entries NAs. </p>
<p>Is there any study that sugg... | g18326 | [
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<p>I am new to Weka. I have used the following statement in Weka CLI:</p>
<pre><code>java weka.filters.MultiFilter -b -F
"weka.filters.unsupervised.attribute.Remove -R 4,62,83,85,86" -F
"weka.filters.unsupervised.instance.RemoveWithValues -S 0.0 -C 9 -L 7 -V" -F
"weka.filters.unsupervised.instance.NonSparseToSparse" -... | g61651 | [
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0.018384529277682304,
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0.01571684330701828,
0.03... |
<p>I have done an experiment in which I looked at the prey preference of an aquatic invertebrate. I used 10 containers all with one predator but with different densities of prey. I used two different prey species of which the densities were similar for every container. For example container 1 contained 5 individuals of... | g642 | [
0.006353192962706089,
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0.... |
<p>I have a data set in which the samples are multivariate (about 30 variable/features) time series. These samples refer to two classes. I would like to select the variables more relevant to discriminate between the classes and also to remove redundant variables. I am thinking about a filter method for feature selectio... | g61652 | [
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0.02793307788670063,
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0.06692682206630707,
0.048157013952732086,
... |
<p>To diagnose computational singularity, one could, for example, check rank deficiency or compute singular-value decomposition. I have the following questions:</p>
<p>(1). Do the two methods listed above generally produce results that coincide with each other?</p>
<p>(2). If the answer to (1) is negative, which meth... | g61653 | [
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0.022... |
<p>For example, you calculate the sample size with given power and significant level for a, e.g. two-way balance ANOVA design study. But at the end, its assumptions are not met and cannot be remedial. One switch to a more suitable method, e.g. Poisson regression and there are debatable in calculate power for the new me... | g61654 | [
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0.... |
<p>A little spider lives in a rectangular box of which the sides are 3 and 4 cm long. It can only sit in one of the four corners marked with the numbers 1,2,3,4 (clockwise). Assume in Corner 2 there is a bigger spider ready to eat the little spider and in Corner 3 there is a hole leading to the outside through which th... | g61655 | [
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0.05383671820163727,
0.02474617213010788,
-0.0... |
<p>I'm using R and the package boot.</p>
<p>my boot function returns the coefficients and the r.square and sqrt of the r.square </p>
<pre><code> rsq2 <- function(formula, data, indices) {
d <- data[indices,] # allows boot to select sample
fit <- lm(formula, data=d)
return(c( coef(fit),summary... | g61656 | [
0.02025151439011097,
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0.048869792371988297,
0.05372033268213272,
0.02... |
<p>I'm planning on doing quantile regression for estimating pain relief after hip surgery. My aim is to construct for my patients information in this format:</p>
<blockquote>
<p>4 out of 5 patients experience with your background experience at least a 50 % decrease in pain intensity one year after surgery</p>
</bloc... | g61657 | [
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0.010341387242078781,
0.06767923384904861,
0.01707942597568035,
0.06409041583538055,
-0.0183... |
<p>I am graduating with a bachelor's degree in applied math and I will pursue a master's degree in statistics this fall. </p>
<p>There are many specialized fields in applied statistics. I realize I may be more interested in becoming a data analyst, working with big data in market research or IT, but I'm not sure what ... | g18334 | [
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-0.07428676635026932,
0.003819115227088332,
0.02017401158809662,
0.07608131319284439,
-0.0638... |
<p>I have a multivariate time series. My model assumption is that it was generated from underlying factors, some of which are stationary, using a linear mixing.</p>
<p>How can I access the stationary factors? I have tried independent component analysis (ICA), but the independence assumption is too strong.</p> | g37951 | [
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0.005626651458442211,
0.014568908140063286,
0.02307404950261116,
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-0.0... |
<p>When I run <code>hausman</code> in Stata, there is the following message:</p>
<pre><code>Note: the rank of the differenced variance matrix (8) does not equal the number of
coefficients being tested (9); be sure this is what you expect, or there may be problems
computing the test. Examine the output of your estim... | g61658 | [
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-0.014049582183361053,
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0.04966278001666069,
0.0009907755302265286,
0.05... |
<p>I have a question about preparing the dataset of positive samples for a cascaded classifier that will be used for object detection.</p>
<p>As positive samples, I have been given 3 sets of images:</p>
<ol>
<li>a set of <strong>colored</strong> images in full size (about 1200x600) with a <strong>white background</st... | g18335 | [
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0.00136572087649256,
0.01779109612107277,
0.07591816782951355,
0.02872982993721962,
0.019227... |
<p>I need some help to understand some topics in Agresti's <em>Categorical Data Analysis</em>. In section 6.3.1 (p 231), he provided a model like:<br>
$$
\text{logit}(\pi_{ik})=\alpha+\beta x_i+\beta_k^Z
$$
where $i$=1,2, $k$ = 1, $\ldots$, $K$</p>
<p>Basically we have 3 categorical variables $X$, $Y$, & $Z$ ($Z... | g38169 | [
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0.01004308182746172,
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0.02429007925093174,
0.02... |
<p>Currently I am working on some subspace clustering issues. I found one useful package in R called orclus, which implemented one subspace clustering algorithm called orclus.</p>
<p>As stated in the package description, there are two key parameters to be determined. One is the subspace dimensionality and the other on... | g61659 | [
0.014275145716965199,
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0.01996270939707756,
0.015554244630038738,
0.09301874041557312,
0.030818... |
<p>Are there any good references for kernel-based Naive Bayesian classifier?</p> | g61660 | [
0.013470719568431377,
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0.04027890786528587,
0.01177158672362566,
0.0758155807852745,
0.... |
<p>I have a data set that contains about 40 categorical variables that are taken as independent variables (and believed to be related to some unobservable human resource factors) and 4 categorical variables (like a company's turnover, competition for job etc.) that are taken to be the dependent variables. All these var... | g18338 | [
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-0.03184909746050835,
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0.015165667980909348,
0.03860596567392349,
0.06... |
<p>I'm trying to do a logistic regression on some data. </p>
<p>Here's a simplified version of the situation: </p>
<p>I'm trying to predict student success based on their history, etc. One of my predictors is the percentage of the courses they've passed in the past. If they haven't taken any courses, I don't want to ... | g48197 | [
0.022028254345059395,
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0.02303977869451046,
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-0.04369503632187843,
0.017801295965909958,
0.021013082936406136,
0.06724630296230316,
0... |
<p>I am trying to determine exactly what method <a href="http://pngu.mgh.harvard.edu/~purcell/plink/" rel="nofollow">PLINK</a> uses for meta-analysis. I can't find it in the program documentation/FAQ anywhere. Inverse variance? (given the meta command only requires effect size and SE)? ALso, what method its using to ge... | g18339 | [
-0.029061339795589447,
0.011883270926773548,
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-0.04995911568403244,
-0.04960360750555992,
0.019264275208115578,
0.0497765876352787,
0.015... |
<p>Is there a recommendation on the number of times that an experiment should be replicated? As many of you know, is not always possible to make many replicas. What would be the recommended minimum? Is there some references to support it?</p>
<p>In my particular case (animal reproduction), for reasons of seasonality, ... | g61661 | [
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0.011830944567918777,
0.02080121822655201,
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0.026331573724746704,
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0.0014558129478245974,
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... |
<p>I have a dependent variable made up of 3 categories and 14 binary predictor variables.</p>
<p>I have tried using <code>mlogit</code> and <code>nnet/multinom</code> packages in R. </p>
<p><strong>Is there a better approach than multinomial logistic regression for this particular scenario?</strong></p> | g37807 | [
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0.019902082160115242,
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0.0440177246928215... |
<p>I was just wondering-- is it possible/practical to apply bayes' theorem without an analytical expression for the prior, only samples? </p>
<p>For example, say you have sufficient draws from a posterior distribution from a previous experiment via MCMC methods, and you'd like to use that posterior as the prior for a ... | g61662 | [
0.013236851431429386,
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0.04484090581536293,
0.04089495167136192,
0.036761634051799774,
0.07... |
<p>Okay, so I am trying to understand linear regression. I've got a data set and it looks all quite alright, but I am confused. This is my linear model-summary:</p>
<pre><code>Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.2068621 0.0247002 8.375 4.13e-09 ***
temp 0.0031... | g18342 | [
0.022103533148765564,
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0.050769053399562836,
0.018977738916873932,
0.07265238463878632,
0.029723748564720154,
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-0.11240547150373459,
-0.03774397820234299,
0.04241708293557167,
0.008628382347524166,
-0.0... |
<p>I am confused about the notation in my Stochastic Processes class, and I can't find a place in the textbook that explicitly defines this notation. He uses $E$ to mean simple expectation i.e. for tail sum formula for expectation it is written $$EX = \sum_{k = 1}^\infty P(X \ge k)$$ Then in the next paragraph, he writ... | g61663 | [
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0.02214430458843708,
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0.08068610727787018,
0.024937128648161888,
0.03510... |
<p>For a general modeling problem, there are literally at least a dozen choices of statistical and algorithmic models to choose from. Off the top of my head, choices could be: regression (and its variants), neural networks (and its variants), SVM (and its variants), random forests (and its variants), etc. </p>
<p>So w... | g61664 | [
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<p>The problem I encounter is the following: </p>
<p>Imagine a (perfect) inverted U-shaped relation between an independent variable and a dependent variable. When you look at the curve estimation there is indeed a perfect inverted U-shaped relation.</p>
<p>If you conduct a regression analysis you have the normal inde... | g49795 | [
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<p>I have household survey data with 32 questions about assets the household has or doesn't. I assume that taken together the answers to these asset questions (e.g. how many televisions does the household own) are an indication of wealth, and could be used to make a good index of wealth, e.g. using the first component ... | g61665 | [
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<p>I want to analyze a .csv file with the results of a customer survey.</p>
<p>One of the questions is: "Tell us the top 3 reasons you chose us.".</p>
<p>The answers are short paragraphs of text listing a ranging number of reasons (not always 3).</p>
<p>An example answer could be "1. Speed, 2. Customer service, 3. P... | g61666 | [
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<p>I want to show ${\rm var}(\overline{X})$ is $\sigma^2/ n$ for $n$ independent random variables each with mean $\mu$ and standard deviation $\sigma$. I would like to show this using:</p>
<p>$$ E(\overline{X} - \mu) ^ 2 $$ </p>
<p>I'm doing something wrong in my own calculations because it's not reducing to $\sigma... | g45376 | [
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<p>thanks for taking time to read this first of all.</p>
<p>I am looking for an IV procedure if the endogenous variable is binary or ordinal (0 to 5).
I see the problem of using 2SLS if the endogenous variable is ordinal, but I fail to find a solution. I am convinced there is a solution and many people have faced this... | g61667 | [
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<p>I would like to know the formula or method of calculating this.</p>
<p>For example, I want to know how many numbers I must pick in order to have 95% confidence that I will be within 2% of the average.</p>
<p>I'm also interested in doing a similiar analysis for the median as well.</p>
<p>Update: Numbers are not pu... | g61668 | [
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<p>I'm currently tracking EWMA and EWMV with</p>
<p>$M_k=(1-\alpha)*M_{k-1}+\alpha*x$</p>
<p>$S_k=(1-\alpha)*(S_{k-1}+\alpha*(x-M_{k-1})^2)$</p>
<p>Now, I'm tracking these values in data set with 4 different dimensions and would like to "fold" these dimensions to get aggregated views, but I'm not sure how I can comb... | g61669 | [
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<p>I have tried calculating the AIC of a linear regression in R but without using the <code>AIC</code> function, like this:</p>
<pre><code>lm_mtcars <- lm(mpg ~ drat, mtcars)
nrow(mtcars)*(log((sum(lm_mtcars$residuals^2)/nrow(mtcars))))+(length(lm_mtcars$coefficients)*2)
[1] 97.98786
</code></pre>
<p>However, <co... | g61670 | [
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<p>Am conducting a study where I teach my participants 10 lessons. After each lesson they have to answer questions to check understanding of the lesson. Some participants missed between 2-4 lessons. How do I handle the missing data? Do I drop them?</p> | g18358 | [
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<p>When using regression to estimate a relation between a variable of interest and distance from a certain point (eg a distance-decay curve), what are the advantages and disadvantages of fitting the regression line to cumulative data rather than data by band, and what is the balance of advantage?</p>
<p>The following ... | g61671 | [
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<p>When the matrices in the model are constant, then performing forecasts is straight-forward. However, when using a time-varying model like dynamic regression I'm not sure how to proceed since we don't observe the predictors either (are time series too) so my intuition is that the forecasts would be those of the const... | g18360 | [
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<p>I'm trying to get a handle on the concept of overdispersion in logistic regression. I've read that overdispersion is when observed variance of a response variable is greater than would be expected from the binomial distribution.</p>
<p>But if a binomial variable can only have two values (1/0), how can it have a mea... | g61672 | [
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<p>I am trying to fit a multinomial logit model on the data below. I want to see whether gender, age, population and the province have an influence on the reporting behavior of a victim of crime. This is my model:</p>
<pre><code>library("mlogit")
#source("~/Forge/mlogit/chargement.R")
R <- mlogit.data(data, shape=... | g61673 | [
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<p>I planned a field experiment with different genotypes according to an augmented design (check repeated entries plus unrepeated entries). Since I am testing a segregating population, each plot split into different plant colours. Therefore, I would like to analyze singularly each colour group within each plot. This lo... | g61674 | [
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<p>I'm trying to understand how uncertain an estimation of a demand distribution of a good is. If I take a random sample of n people from the representative consumer population who give me their personal cutoff/choke prices (assuming they accurately report them), I can construct a demand curve with n points representin... | g61675 | [
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<p>I want to build a model that determines whether to pre-screen my widgets for defects. If I do pre-screen, it costs a fixed amount per check and I resolve the problem 100% of the time. If I don't pre-screen, its cost will be the cost of fixing the problem, plus the cost of materials for expired inventory. I have a... | g18362 | [
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<p>Can anyone point me towards a good explanation of when a residualized variable in a regression will give you the same answer as using a non-residualized variable with controls? </p>
<p>For instance, say I want to know the effect of a variable x on y and need to control for a and b. In a classic linear model framewo... | g18363 | [
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<p>I am a graduate student in economics who recently converted to R from other very well-known statistical packages (I was using SPSS mainly). My little problem at the moment is that I am the only R user in my class. My classmates use Stata and Gauss and one of my professors even said that R is perfect for engineering,... | g49919 | [
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... |
<p>Is is possible to calculate an AIC or BIC values for lasso regression models and other regularized models where parameters are only partially entering the equation. How does one determine the degrees of freedom?</p>
<p>I'm using R to fit lasso regression models with the glmnet function in the glmnet package, and I... | g18366 | [
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<p>I have some non Gaussian distributed variable and I need to check if there are significant differences between the values of this variable in 5 different groups. I have performed Kruskal-Wallis one way analysis of variance (which came up significant) and after that I had to check which groups were significantly diff... | g18367 | [
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<p>Not sure if this belongs to CrossValidated, Computational Science, or something else entirely.</p>
<p>I've got some code and data that's going into a publication, but I'd like to make said code and data publicly available so that the analysis can be replicated. If I was having it hosted by the publisher, I'd ignore... | g61676 | [
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<p>I have four continuous variables drawn from secondary data of companies. The combination of these four variable represent my dependent variable. These four variables are real values. They are just only four values with no items. I am using PCA to combine them together. The results I have got are that three variables... | g61677 | [
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<p>I'm not exactly sure how to title this thread, or what tags to use since advanced statistics isn't really my thing right now. Please change the title and tags as needed to improve this question.</p>
<p>Say I have 10 different employees who sell newspaper subscriptions, and each employee covers a different geographi... | g18371 | [
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<p>I could really use some advice with an interaction interpretation.
I have conducted a 3 way repeated measures anova with terms A, B and C. A has 2 levels, B has 3 levels and C has 4 levels.</p>
<p>My results show a significant main effect of A and a significant interaction effect of BxC.
I am aware that if there is... | g61678 | [
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<p>From <a href="http://www.pitt.edu/~super4/33011-34001/33151-33161.ppt" rel="nofollow">a slides</a></p>
<blockquote>
<p>How does GEE work? </p>
<ul>
<li>First, a naive linear regression analysis is carried out, assuming the observations within subjects are independent.</li>
<li>Then, <strong>residuals are... | g18372 | [
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0.014793386682868004,
0.02934412844479084,
0.00... |
<p>So I have a data set of articles like so. </p>
<pre><code>‘Difference of Python and Ruby’ 537
‘Advanced Tutorial on Python’ 1438
‘HTTP library’ 134
</code></pre>
<p>The numbers next to them are click data. I am looking to do regression analysis between the words in each of the titles and... | g61679 | [
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0.03291788697242737,
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0.04483436048030853,
0.... |
<p>I have this confusion related to the predictive distribution of gaussian process. I was reading this <a href="http://ipg.epfl.ch/~seeger/lapmalmainweb/papers/bayesgp-tut.pdf" rel="nofollow">paper</a> </p>
<p><img src="http://i.stack.imgur.com/RHlyo.png" alt="enter image description here"></p>
<p>I didn't get how t... | g49623 | [
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0.07612140476703644,
0.04483358934521675,
-... |
<p>What is the difference between Cross Correlation and Mutual Information. What kind of problems can be solved using these measures and when is it appropriate to use one over the other.</p>
<p>Thanks for the comments. To clarify, the question is prompted by an interest in iomage analysis rather than time series analy... | g32527 | [
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<p>I'm trying to understand the effects of adding non-conditionally independent features to a naive Bayes classifier. Let's say I have the features vector $X = [x_1,x_2,x_3,x_4]$ and that for each value of $x_3$ I get the same value for $x_4$:</p>
<p>For all $i \in \{samples\}$, $x_{3}^{i} = x_{4}^{i}$</p>
<p>I could... | g61680 | [
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... |
<p>On <a href="http://download.springer.com/static/pdf/305/chp%253A10.1007%252F978-3-642-22792-9_21.pdf?auth66=1381954902_7a8eccbd8188fded3878a75ad24f8c83&ext=.pdf" rel="nofollow">pg. 378</a> of "Cryptography with Tamperable and Leaky
Memory", Kalai et al. claim two probability distributions are $e(k)$ close if the... | g61681 | [
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0.01560092531144619,
0.02535933442413807,
0.016496622934937477,
-0.015166498720645905,
0.013340743258595467,
-0.011180208064615726,
0.0441720150411129,
0.051807940006256104,
-0.0... |
<p>I used to think my time-serie was seasonal, but then I realized it simply needed some calendar-effect adjustment. I tried that and I'm now in doubt there might still be some seasonality left. I tried adding a 12 month differencing, and it seemed to work, but then I thought: why not just try 12 month differencing in ... | g48245 | [
-0.01726437360048294,
-0.035499557852745056,
-0.010468196123838425,
-0.03146272152662277,
-0.02583598531782627,
-0.03389060124754906,
0.05952351540327072,
-0.0013458972098305821,
-0.02388368919491768,
-0.024055898189544678,
0.003250183304771781,
-0.0014716704608872533,
0.057137034833431244,
... |
<p>My question originated from Xi'an's <a href="http://stats.stackexchange.com/questions/23218/posterior-mean-of-exponential-functions-how-to-do-it-with-mcmc">suggestion</a> to check integrability against the posterior in my nonlinear hierarchical model. I did not check it, but had possible infinity in mind and found o... | g48246 | [
0.02566724643111229,
-0.025068791583180428,
0.0010301510337740183,
-0.06903619319200516,
0.03331374749541283,
-0.013423454016447067,
-0.031322043389081955,
0.035567909479141235,
-0.037660013884305954,
-0.0398792028427124,
0.006584553513675928,
0.02715407870709896,
-0.0075700050219893456,
0... |
<p>I'm trying to fit linear models to my data in R. I need to use a generalised least squares method as I have heterogeneity of variance in one of my variables. I was planning to use <strong>varIdent</strong>, as the variable is nominal.</p>
<p>But - I also want to have a random term as my data have a nested structure... | g18380 | [
0.03017406538128853,
-0.03664075583219528,
0.0012138047022745013,
-0.03666527196764946,
-0.02572222612798214,
-0.028275232762098312,
-0.07710272073745728,
-0.008750038221478462,
0.00047093420289456844,
-0.061722274869680405,
0.015482588671147823,
-0.014405143447220325,
0.03844040259718895,
... |
<p>I am trying to do learn how to do a repeated measure in R using <code>ezANOVA</code> and I have used the following command:</p>
<pre><code>> ezANOVA(data=NL2, dv=.(ln.conc.), wid=.(sample), within=.(time),
> between=.(pH), type=1, detailed=TRUE)
</code></pre>
<p>This is my output and my question is why Mauch... | g37435 | [
-0.003970378544181585,
-0.04895181208848953,
0.0061307987198233604,
-0.08893732726573944,
0.02252604067325592,
-0.03161640465259552,
0.03966915234923363,
0.008812790736556053,
-0.053744275122880936,
-0.007231763564050198,
-0.06692136824131012,
0.04567696899175644,
0.008109647780656815,
0.0... |
<p>I understand that in a linear regression model like:</p>
<p>$y_i = b_0 + b_1 x_i + \epsilon_i$</p>
<p>I can have a null and an alternative hypothesis:</p>
<p>$H_0: b_1 = 0$ and $H_1: b_1 \neq 0$. </p>
<p>And then I can reject $H_0$ or fail to reject $H_0$. But what if I want to accept that $b_1 = 0$?</p> | g61682 | [
0.0403304360806942,
0.008148595690727234,
0.006985997315496206,
-0.02281228080391884,
0.032431572675704956,
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-0.04205188900232315,
0.056601375341415405,
-0.029731137678027153,
-0.045259784907102585,
0.007474870886653662,
0.03512990474700928,
0.04338263347744942,
0.021... |
<p>We have</p>
<p>$$ I_i (x) = \begin{cases} 1 \quad x-h<X_i<x+h \\ 0 \quad \text{otherwise} \end{cases} $$</p>
<p>Does that indicator function follow the Bernoulli distribution? If so, the expected value can be computed easily. </p> | g18651 | [
-0.002347827423363924,
0.017673879861831665,
-0.006193783599883318,
0.014050469733774662,
-0.043632883578538895,
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0.012499945238232613,
-0.013698874972760677,
-0.02936450205743313,
-0.03472943231463432,
0.02526678517460823,
-0.0007080885698087513,... |
<p>This is an example from my book that I'm trying to figure out but I'm totally lost. Can someone complete this step by step so I understand?</p>
<blockquote>
<p>A new meditation technique based on making barnyard animal noises promises to calm people, but you might be skeptical. You can imagine that it could cause... | g61683 | [
0.035064928233623505,
0.02792193554341793,
-0.0008109677000902593,
-0.03736177831888199,
0.023150388151407242,
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0.05230477452278137,
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-0.024422386661171913,
-0.006536743603646755,
0.016234928742051125,
0.05266474187374115,
0.... |
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