Introduction to Mixed Modelling —— Beyond Regression and Analysis of Variance

----- 混合模型介绍 - 退行和变异分析之外 第2版

ISBN: 9781119945499 出版年：2014 页码：504 N W Galwey Wiley

Preface. 1. The need for more than one random-effect term when fitting a regression line. 2. The need for more than one random-effect term in a designed experiment. 3. Estimation of the variances of random-effect terms. 4. Interval estimates for fixed-effect terms in mixed models. 5. Estimation of random effects in mixed models: best linear unbiased predictors. 6. More advanced mixed models for more elaborate data sets. 7. Two case studies. 8. The use of mixed models for the analysis of unbalanced experimental designs. 9. Beyond mixed modelling. 10. Why is the criterion for fitting mixed models called residual maximum likelihood? References. Index.