Handbook for Applied Modeling: Non-Gaussian and Correlated D (Paperback)
 
作者: Jamie D Riggs 
分類: Probability & statistics  
書城編號: 1343482


售價: $490.00

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出版社: Cambridge University Press
出版日期: 2017/07/14
尺寸: 255x179x10mm
重量: 470 grams
ISBN: 9781316601051

商品簡介
Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for their own data analysis needs. Data, R, and SAS scripts can be found online at http: //www.spesi.org
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