Goodness-of-fit tests in mixed models
By Gerda Claeskens, Jeffrey D. Hart. 2009
57 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a3e4ed15e459d82c187e5e36a935ca9e5dda1c2c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Christian M. Ringle
- Marko Sarstedt
- Jan-Michael Becker
- Joseph F. Hair
- William H. Woodall
- Franziska Völckner
- Willis A. Jensen
- Jeffrey B. Birch
In Statistics and Probability
- Christian M. Ringle
- William H. Woodall
- Jeffrey B. Birch
- Willis A. Jensen
- Jan-Michael Becker
- Franziska Völckner
- Marko Sarstedt
- Changliang Zou
Citations in the corpus
- Monitoring Correlation Within Linear Profiles Using Mixed Models (2008, methodology): “The eblups will be asymptotically normally distributed as long as the random effects and errors follow a multivariate normal distribution, although the distribution of the eblups is not necessarily the same as that of the blups (Verbeke and Lesaffre (1996) and Ritz (2004)).”
- How collinearity affects mixture regression results (2015, background): “, information and classification criteria) to compare different segmentation solutions in terms of their model fit (based on likelihood or entropy measures; Claeskens and Hart 2009; Hawkins et al. 2001).”