Introduction to multivariate analysis : (Record no. 8056)

MARC details
000 -LEADER
fixed length control field 03260cam a2200313 i 4500
001 - CONTROL NUMBER
control field 18132035
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221019131551.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140429s2014 flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781466567283 (hbk.)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.535
Book number KON/I
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Konishi, Sadanori.
245 10 - TITLE STATEMENT
Title Introduction to multivariate analysis :
Sub Title linear and nonlinear modeling /
Statement of responsibility, etc by Sadanori Konishi.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Boca Raton :
Name of publisher CRC Press,
Year of publication 2014.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxv, 312 p. :
Other physical details(ill.) illu. ;
Dimensions(size) 24 cm.
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC Texts in Statistical Science series.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "Multivariate techniques are used to analyze data that arise from more than one variable in which there are relationships between the variables. Mainly based on the linearity of observed variables, these techniques are useful for extracting information and patterns from multivariate data as well as for the understanding the structure of random phenomena. This book describes the concepts of linear and nonlinear multivariate techniques, including regression modeling, classification, discrimination, dimension reduction, and clustering"--
Summary, etc "The aim of statistical science is to develop the methodology and the theory for extracting useful information from data and for reasonable inference to elucidate phenomena with uncertainty in various fields of the natural and social sciences. The data contain information about the random phenomenon under consideration and the objective of statistical analysis is to express this information in an understandable form using statistical procedures. We also make inferences about the unknown aspects of random phenomena and seek an understanding of causal relationships. Multivariate analysis refers to techniques used to analyze data that arise from multiple variables between which there are some relationships. Multivariate analysis has been widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random phenomena. Techniques would include regression, discriminant analysis, principal component analysis, clustering, etc., and are mainly based on the linearity of observed variables. In recent years, the wide availability of fast and inexpensive computers enables us to accumulate a huge amount of data with complex structure and/or high-dimensional data. Such data accumulation is also accelerated by the development and proliferation of electronic measurement and instrumentation technologies. Such data sets arise in various fields of science and industry, including bioinformatics, medicine, pharmaceuticals, systems engineering, pattern recognition, earth and environmental sciences, economics and marketing. "--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Multivariate analysis.
Topical Term MATHEMATICS / Probability & Statistics / General.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Technical Reference Book
Koha issues (borrowed), all copies 2
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Full call number Accession Number Price effective from Koha item type
Not withdrawn Not Lost not damaged   Central Library, IIT Bhubaneswar Central Library, IIT Bhubaneswar 04/11/2016 519.535 KON/I 7758 04/11/2016 Technical Reference Book

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