Online since 1997 Handbook of Statistical Analyses Using SAS, Second EditionClick on a title to get information such as reviews, price comparisons, and availability or to purchase. Search Again-Enter Keyword, Title, or ISBN: |
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Handbook of Statistical Analyses Using SAS, Second Edition |
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Binding: Paperback Dewey Decimal Number: 519.50285 EAN: 9781584882459 Edition: 2 ISBN: 158488245X Label: Chapman & Hall/CRC Manufacturer: Chapman & Hall/CRC Number Of Items: 1 Number Of Pages: 376 Publication Date: August 21, 2001 Publisher: Chapman & Hall/CRC Studio: Chapman & Hall/CRC |
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| Customer Reviews | ||
  - This is an average introduction to SAS statistics...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, in cluster analysis, only hierarchical clustering was mentioned and there was nothing about partitional algorithm. The authors only used very small datasets, which ignored the biggest power of SAS, the ability to handle large datasets. The authors also printed all raw datasets in the book, which took quite a bit of space. The authors should read Venables and Ripley's Modern Applied Statistics with SPlus first. Venables/Ripley made a great example on how to write an applied statistics book using a specific software. Rating:  - applications illustrated in SASBrian Everitt is the author of several very well-written statistical texts. Among them he has written a number that show how to implement statistical analyses usimg statistical software packages. This second edition of "A Handbook of Statistical Analyses using SAS" he has coauthored with Geoff Der. As a SAS user, I find this book very handy along with other similar texts that I have on the use of SAS. What is particularly good about this book is that it serves as a guide to the use of various SAS procedures and also as an illustration of appropriate statistical approaches to real applications using SAS. It starts out with a nice introduction to the SAS prrogramming language and its syntax and progresses through simple descriptive statistics to categorical data analysis to regression and analysis of variance and then on to more advanced topics, including survival analysis, logistic regression, generalized linear models,longitudinal data analysis, principle components, factor analysis and cluster analysis. Appendices provide SAS MACROs and SAS solutions to exercises in the text. What is particularly good about this book, that may set it apart from some of the others, is the expert statistical advice about the implementation and interpretation of results in SAS. They provide excellent scholarly references to the statistical literature to support their advice. As an example, I particularly liked their discussion of Type I and Type III sum of squares in the analysis of variance. They give a clear explanation of what each means and when they are equivalent and when they are different. In addition, they present their own view as to which is the appropriate one to use in given situations and support their view with quotes from other researchers. Opposing positions are also mentioned and referenced. Rating:  - Not that great of a bookUselfull for experienced people in the field. You are expected to know the subject early on. the book mostly provied an example for each of the subjects and explains them tersly. This wasen't what i expected Rating: - Nice book but you need to know the subject!This is a nice book if you know the subject from another book ! - otherwise the explanation is limited. Rating: - Good If you know your StatisticsThis is a good book if you know statistical analysis. Do you know what to use, when and where? If you do, this book is good because if you are going to use SAS for analysis you have got to know your statistics. What good would FORTRAN be if you didn't know Algebra? You need both. |
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