Applied Matrix and Tensor Variate Data Analysis (Record no. 8650)

MARC details
000 -LEADER
fixed length control field 02466nam a22002295i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220207111936.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210705b2016 uk a|||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9784431553861 (pbk)
040 ## - CATALOGING SOURCE
Transcribing agency NIL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
Item number SAK-A 2016 10585
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sakata, Toshio
245 00 - TITLE STATEMENT
Title Applied Matrix and Tensor Variate Data Analysis
Medium [electronic resource] /
Statement of responsibility, etc. edited by Toshio Sakata.
Linkage 880
250 ## - EDITION STATEMENT
Edition statement
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Tokyo :
Name of publisher, distributor, etc. Springer Japan :
-- Imprint: Springer,
Date of publication, distribution, etc. 2016.
300 ## - PHYSICAL DESCRIPTION
Extent (XI, 136 p. 36 illus., 23 illus. in color.)
Other physical details
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Three-Way Principal Component Analysis with its Applications to Psychology (Kohei Adachi) -- 2 Non-negative matrix factorization and its variants for audio signal processing (Hirokazu Kameoka) -- 3 Generalized Tensor PCA and its Applications to Image Analysis (Kohei Inoue) -- 4 Matrix Factorization for Image Processing (Noboru Murata) -- 5 Arrays Normal Model and Incomplete Array Variate Observations (Deniz Akdemir) -- 6 One-sided Tests for Matrix Variate Normal Distribution (Manabu Iwasa and Toshio Sakata).
520 ## - SUMMARY, ETC.
Summary, etc. This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), audio signals (Chap. 2) , image analysis  from tensor principal component analysis (Chap. 3), and image analysis from decomposition (Chap. 4), and genetic data (Chap. 5) . Readers will be able to understand the present status of these techniques as applicable to their own fields.  In Chapter 5 especially, a theory of tensor normal distributions, which is a basic in statistical inference, is developed, and multi-way regression, classification, clustering, and principal component analysis are exemplified under tensor normal distributions. Chapter 6 treats one-sided tests under matrix variate and tensor variate normal distributions, whose theory under multivariate normal distributions has been a popular topic in statistics since the books of Barlow et al. (1972) and Robertson et al. (1988). Chapters 1, 5, and 6 distinguish this book from ordinary engineering books on these topics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
          Namal Library Namal Library Mathematics 07/05/2021 Allied Book Company   519.5 SAK-A 2016 10585 0010585 07/05/2021 1 07/05/2021 Books
          Namal Library Namal Library Mathematics 07/05/2021 Allied Book Company   519.5 SAK-A 2016 10586 0010586 07/05/2021 2 07/05/2021 Books