000 03409nam a22004935i 4500
001 978-1-4419-1270-1
003 DE-He213
005 20140220084505.0
007 cr nn 008mamaa
008 100301s2010 xxu| s |||| 0|eng d
020 _a9781441912701
_9978-1-4419-1270-1
024 7 _a10.1007/978-1-4419-1270-1
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aK
_2bicssc
072 7 _aBUS061000
_2bisacsh
082 0 4 _a330.015195
_223
100 1 _aGatignon, Hubert.
_eauthor.
245 1 0 _aStatistical Analysis of Management Data
_h[electronic resource] /
_cby Hubert Gatignon.
250 _a2.
264 1 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _aX, 356p. 125 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aMultivariate 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 _aStatistical 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 _aStatistics.
650 0 _aMathematical statistics.
650 0 _aEconomics
_xStatistics.
650 0 _aEconometrics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 2 4 _aEconometrics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441912695
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-1270-1
912 _aZDB-2-SMA
999 _c110359
_d110359