Statistical analysis of management data / Hubert Gatignon.
Material type:
- 9781461485933
- 23 G261 000SB:650
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 000SB:650 G261 (Browse shelf(Opens below)) | Available | C26293 |
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000SB:650 B573 Markovian demand inventory models | 000SB:650 C213 Introduction to modern business statistics | 000SB:650 C213 Introduction to modern business statistics | 000SB:650 G261 Statistical analysis of management data / | 000SB:650 G977 Probability and statistical models | 000SB:650 H777 Statistics for business and economics | 000SB:650 R649 Business statistics |
Includes index.
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.-
14. Appendices: A: Rules in Matrix Algebra.-
B: Statistical Tables.-
C: Description of Data Sets--
Index.
"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."--BOOK JACKET.
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