Pages that link to "Item:Q1848901"
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The following pages link to Goodness-of-fit tests for mixed model diagnostics. (Q1848901):
Displaying 20 items.
- Empirical likelihood based goodness-of-fit testing for generalized linear mixed models (Q403438) (← links)
- Checking for normality in linear mixed models (Q424315) (← links)
- Discussion of ``Impact of frequentist and Bayesian methods on survey sampling practice: a selective appraisal'' by J. N. K. Rao (Q449825) (← links)
- Specification tests in mixed effects models (Q538100) (← links)
- Goodness-of-fit tests in mixed models (Q619094) (← links)
- A modified Pearson's \(\chi^2\) test with application to generalized linear mixed model diagnostics (Q679618) (← links)
- Goodness-of-fit test with a robustness feature (Q2125474) (← links)
- Goodness of fit tests for linear mixed models (Q2252893) (← links)
- Assessing skewness, kurtosis and normality in linear mixed models (Q2404417) (← links)
- Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge) (Q2474776) (← links)
- A goodness-of-fit test for overdispersed binomial (or multinomial) models (Q2475778) (← links)
- Testing goodness of fit for the distribution of errors in multivariate linear models (Q2567122) (← links)
- Goodness-of-fit test in parametric mixed effects models based on estimation of the error distribution (Q2797337) (← links)
- Diagnostic tests for the distribution of random effects in multivariate mixed effects models (Q2807671) (← links)
- A diagnostic test for the mixing distribution in a generalised linear mixed model (Q2813934) (← links)
- Goodness-of-fit Tests for Mixed Models (Q4677106) (← links)
- Testing for normality with panel data (Q5300769) (← links)
- Diagnosing misspecification of the random‐effects distribution in mixed models (Q5347403) (← links)
- Rejoinder (Q5965657) (← links)
- Correct specification of design matrices in linear mixed effects models: tests with graphical representation (Q6169908) (← links)
