1: Introduction -- 2: Multivariate Normal Distribution -- 3: Measurement Theory: Reliability and Factor Analysis -- 4: Multiple Regression with a Single Dependent Variable -- 5: System of Equations -- 6: Categorial Dependent Variables -- 7: Rank Ordered Data -- 8: Error in Variables -- Analysis of Covariance Structure -- 9: Analyses of Similarity and Preference Data -- Appendices -- A: Rules in Matrix Algebra -- B: Statistical Tables -- C: Description of Data Sets.
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SUMMARY OR ABSTRACT
Text of Note
Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in both statistics and mathematics is needed. This book is not intended as a first introduction to statistics and statistical analysis. Instead it assumes that the student is familiar with basic statistical techniques. The techniques are presented in a fundamental way but in a format accessible to students in a doctoral program, to practicing academicians, and to data analysts.
OTHER EDITION IN ANOTHER MEDIUM
Title
Statistical analysis of management data.
International Standard Book Number
1402073151
TOPICAL NAME USED AS SUBJECT
Commercial statistics-- Methodology.
Industrial management-- Statistical methods.
Management-- Statistical methods.
Mathematical statistics.
Multivariate analysis.
Commerce-- statistics & numerical data.
Industrial Management.
Management Information Systems-- Statistical methods.