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Matrix algebra from a statistician's perspective

Matrix algebra from a statistician's perspective (Loan 3 times)

Material type
단행본
Personal Author
Harville, David A.
Title Statement
Matrix algebra from a statistician's perspective / David A. Harville.
Publication, Distribution, etc
New York :   Springer,   c2008.  
Physical Medium
xvi, 634 p. ; 24 cm.
ISBN
9780387783567 (pbk.) 9780387226774 (pbk.)
Bibliography, Etc. Note
Includes bibliographical references and index
Subject Added Entry-Topical Term
Algebras, Linear Linear models (Statistics)
000 00824camuu2200265 a 4500
001 000045724150
005 20121019111906
008 090310s2008 nyu b 001 0 eng a
010 ▼a 2008927514
020 ▼a 9780387783567 (pbk.)
020 ▼a 9780387226774 (pbk.)
035 ▼a (KERIS)BIB000011586066
040 ▼a 211004 ▼d 244002
050 0 0 ▼a QA184.2 ▼b .H378 2008
082 0 0 ▼a 512/.5 ▼2 23
084 ▼a 512.5 ▼2 DDCK
090 ▼a 512.5 ▼b H342ma
100 1 ▼a Harville, David A.
245 1 0 ▼a Matrix algebra from a statistician's perspective / ▼c David A. Harville.
260 ▼a New York : ▼b Springer, ▼c c2008.
300 ▼a xvi, 634 p. ; ▼c 24 cm.
504 ▼a Includes bibliographical references and index
650 0 ▼a Algebras, Linear
650 0 ▼a Linear models (Statistics)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Science & Technology/ Call Number 512.5 H342ma Accession No. 151311887 Availability Available Due Date Make a Reservation Service C M
No. 2 Location Sejong Academic Information Center/Science & Technology/ Call Number 512.5 H342ma Accession No. 151322777 Availability Available Due Date Make a Reservation Service C M

Contents information

Table of Contents

Preface. - Matrices. - Submatrices and partitioned matricies. - Linear dependence and independence. - Linear spaces: row and column spaces. - Trace of a (square) matrix. - Geometrical considerations. - Linear systems: consistency and compatability. - Inverse matrices. - Generalized inverses. - Indepotent matrices. - Linear systems: solutions. - Projections and projection matrices. - Determinants. - Linear, bilinear, and quadratic forms. - Matrix differentiation. - Kronecker products and the vec and vech operators. - Intersections and sums of subspaces. - Sums (and differences) of matrices. - Minimzation of a second-degree polynomial (in n variables) subject to linear constraints. - The Moore-Penrose inverse. - Eigenvalues and Eigenvectors. - Linear transformations. - References. - Index.


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