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Statistical Analysis of Management Data (Record no. 22799)

000 -LEADER
fixed length control field 03294nam a22004575i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151444.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2010 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441912701
978-1-4419-1270-1
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 330.015195
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2010.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gatignon, Hubert.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Statistical Analysis of Management Data
Medium [electronic resource] /
Statement of responsibility, etc by Hubert Gatignon.
250 ## - EDITION STATEMENT
Edition statement 2.
300 ## - PHYSICAL DESCRIPTION
Extent X, 356p. 125 illus.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Multivariate Normal Distribution -- Reliability Alpha, Principle Component Analysis, and Exploratory Factor Analysis -- Confirmatory Factor Analysis -- Multiple Regression with a Single Dependent Variable -- System of Equations -- Canonical Correlation Analysis -- Categorical Dependent Variables -- Rank-Ordered Data -- Error in Variables – Analysis of Covariance Structure -- Cluster Analysis -- Analysis of Similarity and Preference Data -- Appendices.
520 ## - SUMMARY, ETC.
Summary, etc Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on: confirmatory factor analysis canonical correlation analysis cluster analysis analysis of covariance structure multi-group confirmatory factor analysis and analysis of covariance structures Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Mathematical statistics.
Topical term or geographic name as entry element Economics
General subdivision Statistics.
Topical term or geographic name as entry element Econometrics.
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Statistics for Business/Economics/Mathematical Finance/Insurance.
Topical term or geographic name as entry element Statistical Theory and Methods.
Topical term or geographic name as entry element Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
Topical term or geographic name as entry element Econometrics.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441912695
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-1270-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library330.015195

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