The authors covered many topics in applied statistics, but they didn't mention anything about time series analysis. I am disappointed after reading this book. The biggest problem with this book is that it's overly simplistic - typically only one technique is illustrated for each topic - for example,
Handbook of Statistical Analyses Using SAS
โ Scribed by Geoff Der (Author); Brian S. Everitt (Author)
- Publisher
- Chapman and Hall/CRC
- Year
- 2001
- Leaves
- 351
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Powerful software often comes, unfortunately, with an overwhelming amount of documentation. As a leading statistics software package, SAS is no exception. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users.
A Handbook of Statistical Analyses using SAS, Second Edition comes
โฆ Table of Contents
A Brief Introduction to SAS. Data Description and Simple Inference. Simple Inference for Categorical Data. Multiple Regression. Analysis of Variance. Analysis of Variance of Repeated Measures. Logistic Regression. Generalized Linear Models. Longitudinal Data. Survival Analysis. Principal Components Analysis and Factor Analysis. Cluster Analysis. Discriminant Function Analysis. Correspondence Analysis. Appendices.
โฆ Subjects
Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Computing
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