![]() Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance
ISBN: 978-0-470-01496-7
Hardcover
376 pages
November 2006
US $100.00
This price is valid for United States. Change location to view local pricing and availability. Other Available Formats: Adobe E-Book
|
An online version of this product is available through our subscription-based content service. Visit Wiley InterScience now |
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.
Buy Both and Save 20%!
| + |
Buy Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance
(List Price: US $100.00)
with Structural Equation Modelling: A Bayesian Approach (List Price = US $130.00) Cannot be combined with any other offers. Learn more. |

