ENGLISH

Regression & Linear Modeling: Best Practices and Modern Methods

By Jason W. Osborne

Book information

Publisher
Inc, Sage Publications
Year
2016
ISBN
1506302769, 9781506302768
LCC
QA278.2 .O833 2017
Language
english
Format
PDF
Filesize
14 MB (14769820 bytes)
Edition
1
Pages
488\489
Topic
Mathematics\\Probability
Time added
2024-06-09 14:58:37

Description

In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become familiar with applications of ordinary least squares (OLS) regression, binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. Author Jason W. Osborne returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models.

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