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• 000 01457nam0 2200133 4500

• 001 0000710010

• 020 __ |a 9781107146990 |c CNY634.94

• 242 __ |a 应用建模手册: 非高斯和相关数据

• 245 __ |a Handbook for Applied Modeling: Non-Gaussian and Correlated Data |c Jamie D. Riggs,Trent L. Lalonde

• 260 __ |b Cambridge University Press |c 2017

• 300 __ |a 236

• 500 __ |a Hardcover

• 520 __ |a 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.

• 999 __ |a 楚彦青,1194901728@qq.com,电子信息学院,学生,硕士