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Shayle R. Searle

Matrix Algebra Useful for Statistics

Buch

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughoutThis Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations. In addition, André I. Khuri, who has extensive research and teaching experience in the… Mehr

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Produktdetails


Weitere Autoren: Khuri, Andre I.
  • ISBN: 978-1-118-93514-9
  • EAN: 9781118935149
  • Produktnummer: 22373432
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2017
  • Seitenangabe: 512 S.
  • Masse: H25.8 cm x B18.0 cm x D3.2 cm 666 g
  • Auflage: 2. A.
  • Gewicht: 666

Über den Autor


The late Shayle R. Searle, PhD, was professor emeritus of biometry at Cornell University. He was the author of Linear Models for Unbalanced Data and Linear Models and co-author of Generalized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, and Variance Components, all published by Wiley. Dr. Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand.André I. Khuri, PhD, is Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Instituteof Mathematical Statistics.

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