Categorical Data Analysis with SAS and Spss Applications 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Categorical Data Analysis with SAS and Spss Applications

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Lawal, Bayo 作者
Lawrence Erlbaum Assoc Inc
译者
2003-5 出版日期
576 页数
632.00元 价格
HRD
丛书系列
9780805846058 图书编码

Categorical Data Analysis with SAS and Spss Applications 在线电子书 图书标签: 科普  社会学/人类学  数据处理  人口学/统计学  SPSS   


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Categorical Data Analysis with SAS and Spss Applications 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Categorical Data Analysis with SAS and Spss Applications 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Categorical Data Analysis with SAS and Spss Applications 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Categorical Data Analysis with SAS and Spss Applications 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Categorical Data Analysis with SAS and Spss Applications 在线电子书 图书描述

This book covers the fundamental aspects of categorical data analysis with an emphasis on how to implement the models used in the book using SAS and SPSS. This is accomplished through the frequent use of examples, with relevant codes and instructions, that are closely related to the problems in the text. Concepts are explained in detail so that students can reproduce similar results on their own. Beginning with chapter two, exercises at the end of each chapter further strengthen students' understanding of the concepts by requiring them to apply some of the ideas expressed in the text in a more advanced capacity. Most of these exercises require intensive use of PC-based statistical software. Numerous tables with results of analyses, including interpretations of the results, further strengthen students' understanding of the material. Categorical Data Analysis With SAS(R) and SPSS Applications features: *detailed programs and outputs of all examples illustrated in the book using SAS(R) 8.02 and SPSS on the book's CD; *detailed coverage of topics often ignored in other books, such as one-way classification (ch. 3), the analysis of doubly classified data (ch. 11), and generalized estimating equations (ch. 12); and *coverage of SAS(R) PROC FREQ, GENMOD, LOGISTIC, PROBIT, and CATMOD, as well as SPSS PROC CROSSTABS, GENLOG, LOGLINEAR, PROBIT, LOGISTIC, NUMREG, and PLUM. This book is ideal for upper-level undergraduate or graduate-level courses on categorical data analysis taught in departments of biostatistics, statistics, epidemiology, psychology, sociology, political science, and education. A prerequisite of one year of calculus and statistics is recommended. The book has been class tested by graduate students in the department of biometry and epidemiology at the Medical University of South Carolina.

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