User tomka

20 votes

How to obtain p-values of coefficients from bootstrap regression?

answered Jan 22, 2014 at 17:23

12 votes

Accepted

Methods to work around the problem of missing data in machine learning

answered Sep 18, 2017 at 17:04

10 votes

Accepted

Testing Measurement Invariance with Robust Estimators Yields Bizarre (Improved) Model Fit Indexes

answered Sep 18, 2016 at 21:17

10 votes

Accepted

"the leading minor of order 1 is not positive definite" error using 2l.norm in mice

answered Dec 12, 2013 at 12:07

8 votes

Accepted

ANCOVA in observational studies: what are the assumptions?

answered Dec 27, 2013 at 11:54

8 votes

What is "mixture" in a gaussian mixture model

answered Sep 22, 2016 at 7:59

8 votes

Stochastic gradient descent: why randomise training set

answered Oct 25, 2016 at 11:42

6 votes

Accepted

Why is it wrong to stop an A/B test before optimal sample size is reached?

answered Nov 8, 2016 at 10:28

6 votes

Why should the variance equal the mean in Poisson regression?

answered Jun 19, 2017 at 13:34

6 votes

How to run chi-squared test on imputed data

answered Dec 3, 2013 at 22:56

5 votes

Comparing nested binary logistic regression models when $n$ is large

answered Nov 28, 2013 at 18:39

5 votes

Bootstrap vs Standard Estimation

answered Jul 14, 2016 at 6:16

5 votes

Accepted

What type of data analysis should I make in case of (quasi-) experimental data?

answered Sep 24, 2016 at 9:40

4 votes

How to derive the MLE of a Gaussian mixture distribution

answered Sep 19, 2016 at 20:23

4 votes

Accepted

How should I interpret this residual plot?

answered Sep 7, 2016 at 19:48

4 votes

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Machine learning to estimate p(y>N | X) where N is a duration

answered Mar 13, 2019 at 15:00

4 votes

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Confidence interval of the expected value

answered Dec 2, 2013 at 20:20

4 votes

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How to design experiments for Market Research (with a twist)?

answered Jan 8, 2014 at 14:14

3 votes

Accepted

CFA Fit Measure Thresholds for New Scales

answered Jan 8, 2014 at 17:08

3 votes

Accepted

Given probability x, how likely is it that probability y is due to chance?

answered Dec 31, 2013 at 11:24

3 votes

Accepted

Testing if the difference between two count variables is different from zero

answered Apr 29, 2015 at 9:11

3 votes

which distribution should be used in this question?

answered Aug 13, 2019 at 10:51

3 votes

What is the difference between Econometrics and Machine Learning?

answered Aug 7, 2017 at 10:51

3 votes

Communicating confidence in an R forecast's correctness with non-mathematicians

answered May 23, 2017 at 17:19

3 votes

Accepted

Using partial measurements of output variable in modeling

answered Oct 1, 2018 at 15:16

2 votes

Accepted

Determining the percentile rank of a score w.r.t. a known distribution

answered Feb 22, 2018 at 12:37

2 votes

Propensity score matching: bias adjustment

answered Feb 14, 2019 at 15:20

2 votes

Accepted

Is there an index that quantifies the degree of independence of dependent random variables?

answered Nov 5, 2019 at 10:17

2 votes

Accepted

What is the meaning of prime notation in surveys' calibration estimators?

answered Sep 7, 2016 at 22:09

2 votes

Accepted

What is the difference between a stratified random sample and a single-stage cluster random sample?

answered Sep 7, 2016 at 22:38

Stack Exchange Network

67 Answers

How to obtain p-values of coefficients from bootstrap regression?

Methods to work around the problem of missing data in machine learning

Testing Measurement Invariance with Robust Estimators Yields Bizarre (Improved) Model Fit Indexes

"the leading minor of order 1 is not positive definite" error using 2l.norm in mice

ANCOVA in observational studies: what are the assumptions?

What is "mixture" in a gaussian mixture model

Stochastic gradient descent: why randomise training set

Why is it wrong to stop an A/B test before optimal sample size is reached?

Why should the variance equal the mean in Poisson regression?

How to run chi-squared test on imputed data

Comparing nested binary logistic regression models when $n$ is large

Bootstrap vs Standard Estimation

What type of data analysis should I make in case of (quasi-) experimental data?

How to derive the MLE of a Gaussian mixture distribution

How should I interpret this residual plot?

Machine learning to estimate p(y>N | X) where N is a duration

Confidence interval of the expected value

How to design experiments for Market Research (with a twist)?

CFA Fit Measure Thresholds for New Scales

Given probability x, how likely is it that probability y is due to chance?

Testing if the difference between two count variables is different from zero

which distribution should be used in this question?

What is the difference between Econometrics and Machine Learning?

Communicating confidence in an R forecast's correctness with non-mathematicians

Using partial measurements of output variable in modeling

Determining the percentile rank of a score w.r.t. a known distribution

Propensity score matching: bias adjustment

Is there an index that quantifies the degree of independence of dependent random variables?

What is the meaning of prime notation in surveys' calibration estimators?

What is the difference between a stratified random sample and a single-stage cluster random sample?