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1.

図書

図書
by Peter Lancaster
出版情報: Oxford ; New York : Pergamon Press, [1966]  xiii, 196 p. ; 22 cm
シリーズ名: International series of monographs on pure and applied mathematics ; v. 94
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2.

図書

図書
Martin Pearl
出版情報: New York : McGraw-Hill, c1973  xii, 450 p. ; 24 cm
シリーズ名: International series in pure and applied mathematics
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3.

図書

図書
M.A.R. Gunston
出版情報: Amsterdam ; New York : Elsevier Pub. Co., 1970 [1971]  ix, 138 p. ; 23 cm
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4.

図書

図書
Louis A. Pipes, Shahen A. Hovanessian
出版情報: New York : Wiley, c1969  xi, 333 p. ; 23 cm
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5.

図書

図書
David H. Jacobson
出版情報: London ; New York : Academic Press, 1977  x, 217 p. ; 24 cm
シリーズ名: Mathematics in science and engineering : a series of monographs and textbooks ; v. 133
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6.

図書

図書
C. Radhakrishna Rao, Sujit Kumar Mitra
出版情報: New York : Wiley, c1971  xiv, 240 p. ; 24 cm
シリーズ名: Wiley series in probability and mathematical statistics
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7.

図書

図書
N.J. Pullman
出版情報: New York : M. Dekker, c1976  vi, 240 p. ; 24 cm
シリーズ名: Monographs and textbooks in pure and applied mathematics ; 35
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8.

図書

図書
[by] G.N. Smith
出版情報: Barking (Ripple Rd., Barking, Essex) : Applied Science Publishers Ltd., 1971  xi, 222 p ; 23 cm
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9.

図書

図書
Rajendra Bhatia
出版情報: New York : Springer, c1997  xi, 347 p. ; 25 cm
シリーズ名: Graduate texts in mathematics ; 169
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10.

図書

図書
Franklin A. Graybill
出版情報: Belmont, Calif. : Wadsworth International Group, c1983  xi, 461 p. ; 24 cm
シリーズ名: The Wadsworth statistics/probability series
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目次情報: 続きを見る
Prerequisite Matrix Theory / 1:
Introduction
Notation and definitions
Inverse
Transpose of a matrix
Determinants
Rank of matrices
Quadratic forms
Orthogonal matrices
Prerequisite Vector Theory / 2:
Introduction and definitions
Vector space
Vector subspaces
Linear dependence and independence
Basis of a vector space
Inner product and orthogonality of vectors
Linear Transformations and Characteristic ROOTS / 3:
Linear transformations
Characteristics roots and vectors
Similar matrices
Symmetric matrices
Geometric Interpretations / 4:
Lines in En
Planes in En
Projections
Algebra of Vector Spaces / 5:
Intersection and sum of vector spaces
Orthogonal complement of a vector subspace
Column and null spaces of a matrix
Statistical applications
Functions of matrices
Generalized Inverse; Conditional Inverse / 6:
Definition and basic theorems of generalized inverse
Systems of linear equations
Generalized inverses for special matrices
Computing formulas for the g-inverse
Conditional inverse
Hermite form of matrices
Systems of Linear Equations / 7:
Existence of solutions to Ax=g
the number of solutions of the system Ax=g
approximate solutions to inconsistent systems of linear equations
Least squares
Patterned Matrices And Other Special Matrices / 8:
Partitioned matrices
The inverse of certain patterned matrices
Determinants of certain patterned matrices
Characteristic equations and roots of some patterned matrices
Triangular matrices
Correlation matrix
Direct product and sum of matrices
Additional theorems
Circulants
Dominant diagonal matrices
Vandermonde and Fourier matrices
Permutation matrices
Hadamard matrices
Band and Toeplitz matrices
Trace and Vector of Matrices / 9:
Trace
Vector of a matrix
Commutation matrices
Integration and Differentiation / 10:
Transformation of random variables
Multivariate normal density
Moments of density functions and expected values of random matrices
Evaluation of a general multiple integral
Marginal density function
Examples
Derivatives
Expected values of quadratic forms
Expectation of the elements of a Wishart matrix
Inverse Positive Matrices and Matrices With Non-Positive Off-Diagonal Elements / 11:
Matrices with positive principal minors
Matrices with non-positive off-diagonal elements
M-matrices (z-matrices with positive principle minors)
Z-matrices with non-negative principal minors
Non-Negative Matrices; Idempotent and Tripotent Matrices; Projections / 12:
Non-negative matrices
Idempotent matrices
Tripotent matrices
Reference and Additional Readings
Index
Prerequisite Matrix Theory / 1:
Introduction
Notation and definitions
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