An introduction to applied multivariate analysis with R / (Record no. 6707)

MARC details
000 -LEADER
fixed length control field 03589cam a22005177a 4500
001 - CONTROL NUMBER
control field 6707
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhEWU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20181205105439.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110405s2011 nyua g b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441996497
International Standard Book Number 1441996494
International Standard Book Number 9781441996503
International Standard Book Number 1441996508
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)728101887
040 ## - CATALOGING SOURCE
Original cataloging agency LTSCA
Transcribing agency LTSCA
Modifying agency CDX
-- BD-DhEWU
Language of cataloging eng
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA278
Item number .E87 2011
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.535
Item number EVI 2011
084 ## - OTHER CLASSIFICATION NUMBER
Classification number ST 601
Source of number rvk
Classification number SK 830
Source of number rvk
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Everitt, Brian.
9 (RLIN) 19581
245 13 - TITLE STATEMENT
Title An introduction to applied multivariate analysis with R /
Statement of responsibility, etc Brian Everitt, Torsten Hothorn.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York :
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc c2011.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 273 p. :
Other physical details ill. ;
Dimensions 24 cm.
490 1# - SERIES STATEMENT
Series statement Use R!
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. 259-269) and index.
505 0# - FORMATTED CONTENTS NOTE
Title TOC
Formatted contents note Multivariate data and multivariate analysis -- Looking at multivariate data: visualisation -- Principal components analysis -- Multidimensional scaling -- Exploratory factor analysis -- Cluster analysis -- Confirmatory factor analysis and structural equation models -- The analysis of repeated measures data.
520 ## - SUMMARY, ETC.
Summary, etc "The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data."--Publisher's description.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name AS
590 ## - LOCAL NOTE (RLIN)
Local note Tahur Ahmed
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Multivariate analysis
General subdivision Data processing.
9 (RLIN) 19582
Topical term or geographic name as entry element R (Computer program language)
9 (RLIN) 19583
Topical term or geographic name as entry element Multivariate Analyse.
Source of heading or term swd
9 (RLIN) 19584
Topical term or geographic name as entry element R (Programm)
Source of heading or term swd
9 (RLIN) 19585
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hothorn, Torsten.
9 (RLIN) 19240
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Use R!
9 (RLIN) 19520
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified WorldCat details
Uniform Resource Identifier http://www.worldcat.org/title/introduction-to-applied-multivariate-analysis-with-r/oclc/728101887&referer=brief_results
Materials specified Contributor biographical information
Uniform Resource Identifier http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html
Materials specified Publisher description
Uniform Resource Identifier http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html
Materials specified Table of contents only
Uniform Resource Identifier http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html
Materials specified Ebook Fulltext
Uniform Resource Identifier http://lib.ewubd.edu/ebook/6707
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Text
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Non-fiction EWU Library EWU Library Reserve Section 13/05/2015 Parama 4195.80   519.535 EVI 2011 26674 26/05/2015 C-1 26/05/2015 Text
    Dewey Decimal Classification     Non-fiction EWU Library EWU Library E-book 03/01/2018       519.535 EVI 2011   03/01/2018   03/01/2018 E-Book

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