Matrices with applications in statistics
Author(s)
Bibliographic Information
Matrices with applications in statistics
(The Wadsworth statistics/probability series)
Wadsworth International Group, c1983
2nd ed
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Available at / 40 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science研究室
DC16:512.9/G7952021183987
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Note
Rev. ed. of: Introduction to matrices with applications in statistics. 1969
Bibliography: p. 451-457
Includes index
Description and Table of Contents
Description
Presenting topics useful in the study of multivariate analysis and the general linear model, this text is an excellent source for every student in statistics. Additions to the second edition reinforce the text as a classic in its field. This book should be of interest to students on advanced degree courses in statistics, engineering and mathematics.
Table of Contents
Prerequisite matrix theory. Prerequisite vector theory. Linear transformations and characteristic roots. Geometric interpretations. Algebra of vector spaces. Generalized inverse. Conditional inverse. Systems of linear equations. Patterned matrices and certain other special matrices. Trace of a matrix, vector of a matrix, commutation matrices. Integration and differentiation. Positive matrices and matrices with non-positive off-diagonal elements. Non-negative matrices, idempotent and tripotent matrices, projections.
by "Nielsen BookData"