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Köp båda 2 för 1910 krSHAYLE R. SEARLE, PhD, is Professor Emeritus of Biometry at Cornell University. He is the author of Linear Models, Linear Models for Unbalanced Data, and Matrix Algebra Useful for Statistics, all from Wiley. GEORGE CASELLA, PhD, is Professor and Chair of the Department of Statistics at the University of Florida. His research interests include decision theory and statistical confidence. CHARLES E. McCULLOCH, PhD, is Professor of Biostatistics at the University of California, San Francisco. He is the author of numerous scientific publications on biometrics and bio-logical statistics. He is a coauthor, with Shayle R. Searle, of Generalized, Linear, and Mixed Models (Wiley 2001).
History and Comment. The 1-Way Classification. Balanced Data. Analysis of Variance Estimation for Unbalanced Data. Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML). Prediction of Random Variables. Computing ML and REML Estimates. Hierarchical Models and Bayesian Estimation. Binary and Discrete Data. Other Procedures. The Dispersion-Mean Model. Appendices. References. List of Tables and Figures. Indexes.