Advanced Log-Linear Models Using SAS 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Advanced Log-Linear Models Using SAS

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Zelterman, Daniel 作者
译者
2002-10 出版日期
202 页数
$ 48.53 价格
丛书系列
9781590470800 图书编码

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Advanced Log-Linear Models Using SAS 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Advanced Log-Linear Models Using SAS 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Advanced Log-Linear Models Using SAS 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Daniel Zelterman applies his extensive SAS knowledge and biostatistics experience to illustrate how to use the GENMOD procedure to analyze log-linear models for categorical data. His wide variety of examples illustrate the statistical applications PROC GENMOD can perform. He thoroughly describes the models, provides real data examples, supplies the necessary code, and explains the output from GENMOD. The topics covered include the Pearson goodness-of-fit statistic; tables of categorical data; a review of log-linear model methods for rectangular tables of categorical data; extrapolation methods to estimate population size; new models and distributions for statistical analysis of data; and issues in power analysis and estimating sample size in experiments. The models take advantage of the wide class of generalized linear models and use real data from pharmaceutical studies and epidemiology, wildlife, and government statistics. Statisticians who have a basic understanding both of SAS and of the analysis of categorical data will greatly benefit from this book. The discussion of each model and method emphasizes statistical aspects, such as interpretation of results, rather than programming skills. The numerous examples are used to motivate the theory and methods as they are discussed

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