
- 392 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
A Handbook of Statistical Analyses using SAS
About this book
Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors cover inference, analysis of variance, regression, generalized linear mo
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Yes, you can access A Handbook of Statistical Analyses using SAS by Geoff Der,Brian S. Everitt in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front cover
- Contents
- Preface
- Authors
- Chapter 1. Introduction to SAS
- Chapter 2. Data Description and Simple Inference: Morality and Water Hardness in the United Kingdom
- Chapter 3. Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air
- Chapter 4. Analysis of Variance I: Treating Hypertension
- Chapter 5. Analysis of Variance II: School Attendance among Australian Children
- Chapter 6. Simple Linear Regression: Alcohol Consumption and Cirrhosis Deaths and How Old Is the Universe?
- Chapter 7. Multiple Regression: Determinants of Crime Rate in States of the United States
- Chapter 8. Logistic Regression: Psychiatric Screening, Plasma Proteins, Danish Do-It-Yourself and Lower Back Pain
- Chapter 9. Generalized Linear Models: Polyposis and School Attendance among Australian School Children
- Chapter 10. Generalized Additive Models: Burning Rubber and Air Pollution in the United States
- Chapter 11. Analysis of Variance of Repeated Measures: Visual Acuity
- Chapter 12. Longitudinal Data I: Treatment of Post-Natal Depression
- Chapter 13. Longitudinal Data II: Linear Mixed Models. Computerized Delivery of Cognitive Behavioural Therapy - Beat the Blues
- Chapter 14. Longitudinal Data III: Generalized Estimating Equations and Generalized Mixed Models: Treating Toenail Infection
- Chapter 15. Survival Analysis: Gastric Cancer, the Treatment of Heroin Addicts and Heart Transplants
- Chapter 16. Principal Components Analysis and Factor Analysis: Olympic Decathlon and Statements about Pain
- Chapter 17. Cluster Analysis: Air Pollution in the United States
- Chapter 18. Discriminant Function Analysis: Classifying Tibetan Skulls
- Chapter 19. Correspondence Analysis: Smoking and Motherhood, Sex and the Single Girl, and European Stereotypes
- Appendix
- References
- Index
- Back cover