
Computer-Aided Multivariate Analysis
Abdelmonem Afifi, Virginia A. Clark, Susanne May - Collection Texts in Stastical Science
Résumé
- Offers broad coverage, easy accessibility, and practical, how-to information
- Includes examples from five different statistical packages: S-PLUS, SAS, SPSS, STATA, and STATISTICA
- Explains how to interpret the output from these programs, including cautionary notes about potential pitfalls
- Keeps the mathematics to a minimum-requires only a basic statistics course as background
Computer-Aided Multivariate Analysis, Fourth Edition enables researchers and students with limited mathematical backgrounds to understand the concepts underlying multivariate statistical analysis, perform analysis using statistical packages, and understand the output. New topics include Loess and Poisson regression, nominal and ordinal logistic regression, interpretation of interactions in logistic and survival analysis, and imputation for missing values. This book includes new exercises and references, and updated options in the latest versions of the statistical packages. All data sets and codebooks are available for download.
The authors explain the assumptions made in performing each analysis and test, how to determine if your data meets those assumptions, and what to do if they do not. What to Watch out for sections in each chapter warn of common difficulties. By reading this text, you will know what method to use with your data set, how to get the results, and how to interpret them and explain them to others.
New in the Fourth Edition:
- Expanded explanation of checking for goodness of fit in logistic regression and survival analysis
- Kaplan-Meier estimates of survival curves, formal tests for comparing survival between groups, interactions and the use of time-dependent covariates in survival analysis
- Expanded discussion of how to handle missing values
- Latest features of the S-PLUS package in addition to SAS, SPSS, STATA, and STATISTICA for multivariate analysis
L'auteur - Abdelmonem Afifi
L'auteur - Virginia A. Clark
Virginia A. Clark, PHD, is also Professor Emeritus at the University of California, Los Angeles. Drs. Dunn and Clark are the authors of Basic Statistics: A Primer for Biomedical Sciences, Third Edition, published by Wiley.
L'auteur - Susanne May
Sommaire
- Section 1: preparation for analysis
- What is multivariate analysis?
- Characterizing data for analyses
- Preparing for data analysis
- Data screening and transformations
- Selecting appropriate analyses
- Section 2: applied regression analysis
- Simple regression and correlation
- Multiple regression and correlation
- Variable selection in regression 163
- Special regression topics
- Section 3: multivariate analysis
- Canonical correlation analysis
- Discriminant analysis
- Logistic regression
- Regression analysis with survival data
- Principal components analysis
- Factor analysis
- Cluster analysis
- Log-linear analysis
- Appendix
- Index
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Chapman and Hall / CRC |
Auteur(s) | Abdelmonem Afifi, Virginia A. Clark, Susanne May |
Collection | Texts in Stastical Science |
Parution | 23/01/2004 |
Édition | 4eme édition |
Nb. de pages | 489 |
Format | 16 x 24 |
Couverture | Broché |
Poids | 835g |
Intérieur | Noir et Blanc |
EAN13 | 9781584883081 |
ISBN13 | 978-1-58488-308-1 |
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