User James

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Logistic Regression : How to obtain a saturated model

answered Sep 2, 2014 at 19:00

7 votes

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Why am I getting different results for my logistic regression when performed by different software?

answered Sep 10, 2014 at 22:34

6 votes

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Are my data zero inflated?

answered Aug 18, 2014 at 14:41

6 votes

Which property of count data make mean-variance dependency?

answered Aug 18, 2014 at 17:05

6 votes

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Summarizing a lognormal distribution with geometric mean and standard deviation

answered Sep 2, 2014 at 16:53

5 votes

Appropriateness of ANOVA after k-means cluster analysis

answered Sep 22, 2014 at 15:23

4 votes

How to split dataset for time-series prediction?

answered Sep 30, 2014 at 16:43

4 votes

Comparing between random effects structures in a linear mixed-effects model

answered Oct 1, 2014 at 19:36

4 votes

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trouble understanding roc curve

answered Sep 16, 2015 at 21:07

4 votes

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Is a Gaussian AR process with white noise independent?

answered Aug 27, 2014 at 14:29

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How to interpret underrepresented low p-values in Multiple Testing?

answered Aug 25, 2014 at 19:20

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Rule of Thumb for minimum length of time series for AR(1) estimation

answered Sep 3, 2014 at 15:13

3 votes

Inverse-variance weighting

answered Sep 17, 2014 at 14:33

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Null hypothesis of probit model Wald test

answered Sep 18, 2014 at 14:49

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Importance of multiple linear regression assumptions when building predictive regression models

answered Sep 12, 2014 at 15:13

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What type of simulation would be needed?

answered Sep 16, 2014 at 19:35

2 votes

Using time to event data to predict future time to event data

answered Sep 16, 2014 at 19:55

2 votes

Unified view on shrinkage: what is the relation (if any) between Stein's paradox, ridge regression, and random effects in mixed models?

answered Oct 30, 2014 at 15:35

2 votes

Tukey test in factorial experiment

answered Oct 14, 2015 at 16:29

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Finding "unloyal" customers with a Poisson distribution

answered Jul 29, 2016 at 14:24

2 votes

Test for significant excess of significant p-values across multiple comparisons

answered Sep 9, 2015 at 18:42

2 votes

In this classification dataset preprocessing, should outliers be removed before/after reducing dimensionality?

answered Sep 10, 2015 at 19:29

2 votes

Significance in Longitudinal Data

answered Jun 16, 2015 at 20:00

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Covariate no longer significant after inclusion of interaction term

answered Aug 27, 2014 at 14:52

2 votes

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Why the Breusch-Pagan rejects H0 on apparently non-heteroskedastic data?

answered Aug 27, 2014 at 16:31

1 vote

Transforming time series to compensate for change in variance

answered Aug 27, 2014 at 21:59

1 vote

Does GARCH($p$,0) make sense at all?

answered Aug 26, 2014 at 15:49

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Calculate odds ratio and confidence interval from p-value

answered Aug 21, 2014 at 22:14

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Best Fit for Exponential Data

answered Aug 18, 2014 at 17:18

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Integrating multiple tests Bayes factors

answered Aug 19, 2014 at 14:16

Stack Exchange Network

68 Answers

Logistic Regression : How to obtain a saturated model

Why am I getting different results for my logistic regression when performed by different software?

Are my data zero inflated?

Which property of count data make mean-variance dependency?

Summarizing a lognormal distribution with geometric mean and standard deviation

Appropriateness of ANOVA after k-means cluster analysis

How to split dataset for time-series prediction?

Comparing between random effects structures in a linear mixed-effects model

trouble understanding roc curve

Is a Gaussian AR process with white noise independent?

How to interpret underrepresented low p-values in Multiple Testing?

Rule of Thumb for minimum length of time series for AR(1) estimation

Inverse-variance weighting

Null hypothesis of probit model Wald test

Importance of multiple linear regression assumptions when building predictive regression models

What type of simulation would be needed?

Using time to event data to predict future time to event data

Unified view on shrinkage: what is the relation (if any) between Stein's paradox, ridge regression, and random effects in mixed models?

Tukey test in factorial experiment

Finding "unloyal" customers with a Poisson distribution

Test for significant excess of significant p-values across multiple comparisons

In this classification dataset preprocessing, should outliers be removed before/after reducing dimensionality?

Significance in Longitudinal Data

Covariate no longer significant after inclusion of interaction term

Why the Breusch-Pagan rejects H0 on apparently non-heteroskedastic data?

Transforming time series to compensate for change in variance

Does GARCH($p$,0) make sense at all?

Calculate odds ratio and confidence interval from p-value

Best Fit for Exponential Data

Integrating multiple tests Bayes factors