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A handbook of statistical analyses using SAS

โœ Scribed by Geoff Der, Brian S. Everitt


Publisher
Chapman & Hall/CRC
Year
2002
Tongue
English
Leaves
351
Edition
2nd ed
Category
Library

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โœฆ 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 to the rescue. Fully revised to reflect SAS Version 8.1, it gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following:"Data description and simple inference for categorical variables"Generalized linear models "Longitudinal data: Two new chapters discuss simple approaches, graphs, summary measure, and random effect modelsResearcher or student, new user or veteran, you will welcome this self-contained guide to the latest version of SAS. With its clear examples and numerous exercises, A Handbook of Statistical Analyses using SAS, Second Edition is not only a valuable reference, but also forms the basis for introductory courses on either SAS or applied statistics at any level, from undergraduate to professional.


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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,

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