Cantitate/Preț
Produs

Statistical Analysis of Management Data

Autor Hubert Gatignon
en Limba Engleză Hardback – 17 oct 2013
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 third 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, this edition includes:
·         A new chapter on the analysis of mediation and moderation effects
·         Examples using STATA for most of the statistical methods
·         Example of XLSTAT applications
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 particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 53449 lei  39-44 zile
  Springer – 11 sep 2014 53449 lei  39-44 zile
  Springer Us – 27 aug 2016 80432 lei  39-44 zile
Hardback (1) 81431 lei  39-44 zile
  Springer Us – 17 oct 2013 81431 lei  39-44 zile

Preț: 81431 lei

Preț vechi: 107146 lei
-24%

Puncte Express: 1221

Preț estimativ în valută:
15601 16899$ 13379£

Carte tipărită la comandă

Livrare economică 06-11 mai

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781461485933
ISBN-10: 1461485932
Pagini: 580
Ilustrații: XV, 563 p. 263 illus., 34 illus. in color.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.98 kg
Ediția:3rd ed. 2014
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

1: Introduction.- 2: Multivariate Normal Distribution.- 3: Reliability Alpha, Principles Component Analysis and Exploratory Factor Analysis.- 4: Confirmatory Factor Analysis.- 5: Multiple Regression with a Single Dependent Variable.- 6: System of Equations.- 7: Canonical Correlation Analysis.- 8: Categorical Dependent Variables.- 9: Rank-Ordered Data.- 10: Error in Variables – Analysis of Covariance Structure – Structural Equation Models.- 11: Testing Mediation and Moderation Effects.- 12: Cluster Analysis.- 13: Analysis of Similarity and Preference Data.- Appendices: A: Rules in Matrix Algebra.- B: Statistical Tables.- C: Description of Data Sets.

Recenzii

From the book reviews:
“The book covers the main statistical techniques that can be used in analyzing management data. Due to its complexity, the book is dedicated to doctoral students, having a good background both in mathematics and in statistics. The book is full of illustrative examples, helping the readers to better understand the theoretical notions and the statistical techniques used throughout it. … the book is also intended for applied researchers in industry, or other practitioners in the management field.” (Marina Gorunescu, zbMATH, Vol. 1298, 2014)
“This edition deals with statistical topics useful to researchers and graduate students in many fields of management … . updated and expanded according to current needs and demands of the field. … I really enjoyed reading this book. … In summary, it is a nicely packaged book for the intended audience and I have no hesitation to recommend it as a textbook for a graduate course in management sciences and related areas. … used as an excellent reference book for researchers in these areas.” (Technometrics, Vol. 52 (3), August, 2010)

Notă biografică

Hubert Gatignon is the Claude Janssen Chaired Professor of Business Administration at INSEAD. He joined INSEAD in 1994 from the Wharton School of the University of Pennsylvania where he was Professor of Marketing. He holds a Ph.D. in Marketing from the University of California, Los Angeles, and the Habilitation à Diriger des Recherches from Université Paul Cézanne-Aix Marseille.
His research interests involve (1) the marketing of innovations (e.g., modeling the factors influencing the adoption and diffusion of innovations), (2) marketing strategy (e.g., explaining and econometrically measuring how the effects of marketing mix variables change over conditions and over time), and (3) statistical analysis of management data.
Dr. Gatignon's publications have appeared in Communications Research, International Journal of Research in Marketing, Journal of Business Research, Journal of Consumer Research, Journal of International Business Studies, Journal of Law, Economics and Organization, Journal of Marketing, Journal of Marketing Research, Journal of Retailing, Management Science, Marketing Letters, Marketing Science, Planning Review, and Strategic Management Journal. He has recently edited New Products and Services Development (4 volumes), and he is a co-author of MARKSTRAT3: The Strategic Marketing Simulation, ADSTRAT: An Advertising Decision Support System, and COMPTRACK: A Competitive Tracking Software. He co-edited The INSEAD-Wharton Alliance on Globalizing: Strategies for Building Successful Global Businesses.
Dr. Gatignon is an Associate Editor of the Journal of Marketing Research, and he serves on the editorial boards of International Journal of Research in Marketing (he was the Editor-in-Chief from 2000 through 2006), Journal of Business-to-Business Marketing, Journal of Marketing, Journal of the Academy of Marketing Science, Marketing Letters, Marketing Science, and Recherche et Applications en Marketing (he was the Editor-in-Chief from 1998 through 2000). He has also served on the editorial board of Journal of International Business Studies and Journal of International Marketing. Dr. Gatignon is on the advisory board of The Quantitative Marketing Network of the Social Sciences Research Network. He was an Academic Trustee of the Marketing Science Institute from 1998 through 2004 and is now an Academic Trustee at AiMark (Center for Advanced International Marketing Knowledge).
ISI Web of Knowledge identifies Hubert Gatignon as a Highly Cited Researcher in the Economics and Business category.  He has been named a Fellow of the European Marketing Academy and is included in the 25th Anniversary Edition of Who’s Who in the World and in the Who’s Who in France.

Textul de pe ultima copertă

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 third 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, this edition includes:
·         A new chapter on the analysis of mediation and moderation effects
·         Examples using STATA for most of the statistical methods
·         Example of XLSTAT applications
 
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 particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.
 

Caracteristici

Offers comprehensive treatment of statistical analysis as applied to management data
Fully revised, expanded, and updated from previous edition, featuring the most current applications of techniques and methods
Includes numerous worked examples, statistical tables, and description of data sets
Includes supplementary material: sn.pub/extras

Descriere

Descriere de la o altă ediție sau format:
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.