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    Matrices for Statistics

    ISBN-10: 019852207X
    ISBN-13: 9780198522072
    Author(s): M. J. Healy
    Description: This book presents the fundamentals of multiple regression, linear modelling, multivariate analysis, and other statistical methods for the elucidation of complicated data. The author uses the basic terms of matrix algebra to provide a clear and  More...
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    Publisher: Oxford University Press, Incorporated
    Binding: Hardcover
    Pages: 100
    Size: 6.38" wide x 9.50" long x 0.50" tall
    Weight: 0.660
    Language: English

    This book presents the fundamentals of multiple regression, linear modelling, multivariate analysis, and other statistical methods for the elucidation of complicated data. The author uses the basic terms of matrix algebra to provide a clear and accessible guide for biologists, engineers, students of statistics, and others concerned with data analysis. Numerical methods for matrices are described and the book contains a set of algorithms to make such methods generally available.

    Introducing Matrices
    Determinants
    Inverse Matrices
    Linear Dependence and Rank
    Simultaneous Equations and Generalized Inverses
    Linear Spaces
    Quadratic Forms and Eigensystems
    Matrix Algorithms
    Table of Contents provided by Publisher. All Rights Reserved.

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