Using Multivariate Statistics
- ISBN-10
- 9389342236
- ISBN-13
- 9789389342239
- Series
- Using Multivariate Statistics
- Category
- Multivariate analysis
- Pages
- 832
- Language
- English
- Authors
- Barbara G. Tabachnick, Linda S. Fidell, Jodie B. Ullman
Get the book
Other editions
Similar books
-
应用回归分析和其他多元方法: 英文版
By D.G.·克雷鲍姆本书责任者还有:(美)Lawrence L. Kupper、(美)Keith E. Muller、(美)Azhar Nizam。
-
Multivariate Data Analysis
By Joseph F. Hair, Barry J. Babin, William C. BlackFor graduate and upper-level undergraduate marketing research courses.For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis.
-
Applied Multivariate Statistical Analysis
By Richard Arnold Johnson, Dean W. WichernThis market leader offers a readable introduction to the statistical analysis of multivariate observations.
-
Multivariate Analysis Techniques in Social Science Research: From Problem to Analysis
By J. J. A. Tacq, Professor Jacques Tacq3.1.8 The Value and the Valuation of Jobs In his research on job satisfaction , Arne L. Kalleberg ( 1977 ) of Indiana University discusses several approaches in occupational sociology . One group of researchers has sought to explain the ...
-
Solutions Manual for Kleinbaum, Kupper, Muller, and Nizam's Applied Regression Analysis and Other Multivariable Methods
By Aaron T. Curns, Azhar NizamThis bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises...
-
Multivariate Data Analysis
By Ronald l Tatham, Joseph F Hair, Rolph E AndersonMultivariate Data Analysis
-
Complex Survey Data Analysis with SAS
By Taylor H. Lewis7.3.3 Fitting Discrete-Time Hazards Regression Models Using PROC SURVEYLOGISTIC
-
Applied Multivariate Statistical Analysis (Classic Version)
By Richard A. Johnson, Dean W. WichernAppropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations.
-
Multivariate Data Analysis: A Global Perspective
By Joseph F. HairFor graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis.