SHAYLE R. SEARLE, Ph D, 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, Ph D, 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. Mc CULLOCH, Ph D, 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).
4 Ebook di Charles E. McCulloch
Eric Vittinghoff & David V. Glidden: Regression Methods in Biostatistics
Theprimarybiostatisticaltoolsinmodernmedicalresearcharesingle-outcome, multiple-predictor methods: multiple linear regression for continuous o- comes, logistic regression for binary outcomes, and the …
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Inglese
€89.99
Shayle R. Searle & George Casella: Variance Components
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and gene …
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DRM
€114.99
Charles E. McCulloch & Shayle R. Searle: Generalized, Linear, and Mixed Models
An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essen …
EPUB
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€171.99
Eric Vittinghoff & David V. Glidden: Regression Methods in Biostatistics
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models fo …
PDF
Inglese
€96.29