Mixed models : theory and applications with R /
"Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models' statistical properties and nume...
| Main Author: | Demidenko, Eugene, 1948- |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken :
Wiley,
2013.
|
| Edition: | Second [edition]. |
| Series: | Wiley series in probability and statistics ;
893. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
ANOVA and ANCOVA : a GLM approach /
by: Rutherford, Andrew, 1958-
Published: (2011) -
Analysis of variance /
Published: (1980) -
Multivariate analysis of variance /
by: Bray, James H.
Published: (1985) -
Introduction to Mixed Modelling : Beyond Regression and Analysis of Variance.
by: Galwey, Nick
Published: (2014) -
Spatial and spatio-temporal Bayesian models with R-INLA /
by: Blangiardo, Marta
Published: (2015)