Linear Models in Statistics by Alvin C Rencher
This new edition discusses classical linear models from a matrix algebra perspective, making the subject easily accessible to readers encountering linear models for the first time. It provides a solid foundation from which to explore the literature and interpret correctly the output of computer packages and brings together a number of approaches."This indeed clearly written book will do great service for advanced undergraduate and also for PhD students." (International Statistical Review, Dec 2008)
"This well-written book represents various topics on linear models with great clarity in an easy-to-understand style." (CHOICE, Aug 2008)
Alvin C. Rencher, PhD, is Professor of Statistics at Brigham Young University. Dr. Rencher is a Fellow of the American Statistical Association and the author of Methods of Multivariate Analysis and Multivariate Statistical Inference and Applications, both published by Wiley.
G. Bruce Schaalje, PhD, is Professor of Statistics at Brigham Young University. He has authored over 120 journal articles in his areas of research interest, which include mixed linear models, small sample inference, and design of experiments.
| SKU | Unavailable |
| ISBN 13 | 9780471754985 |
| ISBN 10 | 0471754986 |
| Title | Linear Models in Statistics |
| Author | Alvin C Rencher |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2008-02-08 |
| Number of pages | 688 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |