User Carsten

9 votes

SE of fit versus SE of prediction

answered Oct 27, 2017 at 6:50

2 votes

Accepted

LME4-package: glmer function in RStudio. do i need to scale and normalize the data-matrix?

answered Jun 27, 2019 at 12:32

2 votes

Accepted

Anova "versus" variance

answered Jul 26, 2019 at 16:29

2 votes

Accepted

Relation between size of parameters and complexity of model with overfitting

answered Aug 2, 2019 at 14:52

2 votes

Should I cross-validate a logistic regression model that will not be used to make predictions?

answered Aug 2, 2019 at 15:23

1 vote

Testing the difference between two independent regression coefficients

answered Aug 7, 2019 at 15:58

1 vote

Are feature selection methods prone to multicollinearity?

answered Aug 19, 2019 at 10:43

1 vote

anova.gam, significant test and 0 deviance?

answered Nov 8, 2019 at 18:47

1 vote

Accepted

Binary Logistic Regression with only Binary Dependent and Independent variables in R

answered Nov 8, 2019 at 19:02

1 vote

After the linear regression on the main predictors, how to include the interactions of them?

answered Feb 15, 2020 at 21:47

1 vote

Is there a Bayesian Non-Parametric one-way ANOVA?

answered Mar 9, 2020 at 16:35

1 vote

How to compare two or more mean AUC

answered Apr 3, 2020 at 11:57

1 vote

Z-scale before Correlations?

answered Jul 13, 2019 at 17:25

0 votes

GLMM on proportion data based on counts

answered Dec 20, 2023 at 8:06

0 votes

Accepted

What’s the difference between online machine learning and software that updates the model automatically and reestimates when new data are entered?

answered Feb 15, 2020 at 22:04

0 votes

What model to use with repeated measures of count data with a factor and a covariate?

answered Jul 11, 2019 at 7:55

0 votes

ANOVA: Should interactions always be tested if there are multiple independent variables (Effects)?

answered Nov 9, 2019 at 20:23

0 votes

Getting unexplained negative coefficient in Logistic regression using SAS

answered Feb 11, 2020 at 14:08

0 votes

The random error term is assumed to follow the normal distribution with a mean of 0 in linear regression at each point in x axis

answered Feb 13, 2020 at 7:52

0 votes

Capture seasonality - ARIMA in R

answered Nov 8, 2019 at 18:24

Stack Exchange Network

20 Answers

SE of fit versus SE of prediction

LME4-package: glmer function in RStudio. do i need to scale and normalize the data-matrix?

Anova "versus" variance

Relation between size of parameters and complexity of model with overfitting

Should I cross-validate a logistic regression model that will not be used to make predictions?

Testing the difference between two independent regression coefficients

Are feature selection methods prone to multicollinearity?

anova.gam, significant test and 0 deviance?

Binary Logistic Regression with only Binary Dependent and Independent variables in R

After the linear regression on the main predictors, how to include the interactions of them?

Is there a Bayesian Non-Parametric one-way ANOVA?

How to compare two or more mean AUC

Z-scale before Correlations?

GLMM on proportion data based on counts

What’s the difference between online machine learning and software that updates the model automatically and reestimates when new data are entered?

What model to use with repeated measures of count data with a factor and a covariate?

ANOVA: Should interactions always be tested if there are multiple independent variables (Effects)?

Getting unexplained negative coefficient in Logistic regression using SAS

The random error term is assumed to follow the normal distribution with a mean of 0 in linear regression at each point in x axis

Capture seasonality - ARIMA in R