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Advanced Linear Models: Theory and Applications (Statistics: A Series of Textbooks and Monographs), by Shein-Chung Chow, Song-Gui Wang
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This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.
- Sales Rank: #1037572 in Books
- Brand: Brand: CRC Press
- Published on: 1993-12-14
- Original language: English
- Number of items: 1
- Dimensions: 9.22" h x 1.19" w x 6.30" l, 1.94 pounds
- Binding: Hardcover
- 552 pages
- Used Book in Good Condition
About the Author
SHEIN-CHUNG CHOW, PhD, is currently Vice President of Biostatistics and Clinical Data Management for Millennium Pharmaceuticals, Inc., in Cambridge, Massachusetts.
JEN-PEI LIU, PhD, is currently Professor of Statistics for the National Cheng kung University in Tainan, Taiwan, and an investigator for the National Health Research Institutes in Taipei, Taiwan. Both authors have extensive background experience in industry and academia, and, collectively, have published well over a dozen books in their respective fields of study.
Most helpful customer reviews
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An expert treatment on the theory of linear models
By Abstract Space
This book should have received more attention than it has since its publication nearly 15 years ago. The book has given a very thorough and deep theoretical treatments of many linear models at the level of C.R. Rao (1973). Indeed it may be considered an update of the former classic book on the subject of linear models. I had very much enjoyed the second author's book on the same suject in Chinese in 1987 and this English edition has finally brought this work to the English readers.
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