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Marvin H. J. Gruber

Matrix Algebra for Linear Models

Ebook (EPUB Format)

A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified presentation of the mathematical properties and statistical applications of matrices in order to define and manipulate data. Written for theoretical and applied statisticians, the book utilizes multiple numerical examples to illustrate key ideas, methods, and techniques crucial to understanding matrix algebra's application in linear models. Matrix Al… Mehr

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Produktdetails


  • ISBN: 978-1-118-60881-4
  • EAN: 9781118608814
  • Produktnummer: 16382873
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2013
  • Seitenangabe: 392 S.
  • Plattform: EPUB
  • Masse: 19'651 KB

Über den Autor


MARVIN H. J. GRUBER, PHD, is Professor Emeritus in the School of Mathematical Sciences at Rochester Institute of Technology. He has authored several books and journal articles in his areas of research interest, which include improving the efficiency of regression estimators. Dr. Gruber is a member of the American Mathematical Society and the American Statistical Association.

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