Spatial analysis / John T. Kent, Kanti V. Mardia.

By: Kent, J. T. (John T.) [author.]
Contributor(s): Mardia, K. V [author.] | Ohio Library and Information Network
Series: Wiley series in probability and statistics: Publisher: Hoboken, NJ : John Wiley & Sons, Inc., 2022Copyright date: �2022Description: 1 online resource (xxviii, 372 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781118763551; 1118763556; 9781118763575; 1118763572; 9781118763568; 1118763564Subject(s): Spatial analysis (Statistics)Genre/Form: Electronic books.Additional physical formats: Print version:: Spatial analysisDDC classification: 001.4/22 LOC classification: QA278.2 | .K46 2022Online resources: Connect to resource | Connect to resource | Connect to resource (off-campus)
Contents:
Appendix A: Mathematical background 357 A.1 Domains for sequences and functions 357 A.2 Classes of sequences and functions 358 A.2.1 Functions on the domain Rd 359 A.2.2 Sequences on the domain Zd 359 A.2.3 Classes of functions on the domain Sd 1 360 A.2.4 Classes of sequences on the domain Zd N, where N = (n[1]; : : : ; n[d]) 360 A.3 Matrix algebra 360 A.3.1 The spectral decomposition theorem 360 A.3.2 Moore-Penrose generalized inverse 361 A.3.3 Orthogonal projection matrices 362 A.3.4 Partitioned matrices 363 A.3.5 Schur product 364 A.3.6 Woodbury formula for a matrix inverse 364 A.3.7 Quadratic forms 365 A.3.8 Toeplitz and circulant matrices 366 A.3.9 Tensor product matrices 367 A.3.
Summary: "This book provides insight into the statistical investigation of the interdependence of random variables as a function of their proximity in space and time. Interest in this area is being fuelled by the growing need to analyse data from many fields of application."-- Provided by publisher.
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Includes bibliographical references and index.

Appendix A: Mathematical background 357 A.1 Domains for sequences and functions 357 A.2 Classes of sequences and functions 358 A.2.1 Functions on the domain Rd 359 A.2.2 Sequences on the domain Zd 359 A.2.3 Classes of functions on the domain Sd 1 360 A.2.4 Classes of sequences on the domain Zd N, where N = (n[1]; : : : ; n[d]) 360 A.3 Matrix algebra 360 A.3.1 The spectral decomposition theorem 360 A.3.2 Moore-Penrose generalized inverse 361 A.3.3 Orthogonal projection matrices 362 A.3.4 Partitioned matrices 363 A.3.5 Schur product 364 A.3.6 Woodbury formula for a matrix inverse 364 A.3.7 Quadratic forms 365 A.3.8 Toeplitz and circulant matrices 366 A.3.9 Tensor product matrices 367 A.3.

"This book provides insight into the statistical investigation of the interdependence of random variables as a function of their proximity in space and time. Interest in this area is being fuelled by the growing need to analyse data from many fields of application."-- Provided by publisher.

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