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Variance Components

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ÁöÀºÀÌ :  Searle
¹ßÇàÀÏ :  2006 ³â
ISBN :  9780470009598
Á¤Çà°¡ :  42,000 ¿ø
ÆäÀÌÁö :  501 ÆäÀÌÁö
ÆÇÇà¼ö :  1ÆÇ
ÃâÆÇ»ç :  Wiley

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A First Course in Statistical Programming with R
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1. Introduction
2. History and Comment
3. The 1-Way Classification
4. Balanced Data
5. Analysis of Variance Estimation for Unbalanced Data
6. Maximum Likehood(ML) and Restricted Maximum Likehood
7. Prediction of Random Variables
8. Computing ML and REML Estimates
9. Hierarchical Models and Bayesian Estimation
10. Binary and Discrete Data
11. Other Procedures
12. The Dispersion-Mean Model
¢ºAppendix