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.

Item Information Item Information

Format: Hardcover
Author: Osborne, Jason W.
ISBN: 9781506302768
Condition: Used
Dimensions: 10.10 x 1.20
Number Of Pages: 488
Publication Year: 2016

Language: English

Regression & Linear Modeling: Best Practices and Modern Methods

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