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Shayle R. Searle

Linear Models

Ebook (EPUB Format)

Provides an easy-to-understand guide to statistical linear models and its uses in data analysis This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader friendly than the first edition. Linear Models, Second Edition is written in such a way as to be self-contained for a person with a background in basic statistics, calculus and linear algebra. The text includes numerous applied illustrations, numerical examples, and exercises, now augmented with computer outputs in SAS and R. Also new to this edition is: ? A greatly improved internal de… Mehr

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Produktdetails


Weitere Autoren: Gruber, Marvin H. J.
  • ISBN: 978-1-118-95285-6
  • EAN: 9781118952856
  • Produktnummer: 20949728
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2016
  • Seitenangabe: 696 S.
  • Plattform: EPUB
  • Masse: 9'028 KB
  • Auflage: 2. Aufl.

Über den Autor


The late SHAYLE R. SEARLE, PhD, was Professor Emeritus of Biometry at Cornell University. He was the author of the first edition of Linear Models, Linear Models for Unbalanced Data, and Generalized, Linear, and Mixed Models (with Charles E. McCulloch), all from Wiley. The first edition of Linear Models appears in the Wiley Classics Library. MARVIN H. J. GRUBER, PhD, is Professor Emeritus at Rochester Institute of Technology, School of Mathematical Sciences. Dr. Gruber has written a number of papers and has given numerous presentations at professional meetings during his tenure as a professor at RIT. His fields of interest include regression estimators and the improvement of their efficiency using shrinkage estimators. He has written and published two books on this topic. Another of his books, Matrix Algebra for Linear Models, also published by Wiley, provides good preparation for studying Linear Models. He is a member of the American Mathematical Society, the Institute of Mathematical Statistics and the American Statistical Association.

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