"Regression & Linear Modeling" - Information and Links:

Regression & Linear Modeling - Info and Reading Options

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The cover of “Regression & Linear Modeling” - Open Library.

“Regression & Linear Modeling” Metadata:

  • Title: Regression & Linear Modeling
  • Author:

“Regression & Linear Modeling” Subjects and Themes:

Edition Identifiers:

  • The Open Library ID: OL19636454W

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"Regression & Linear Modeling" Description:

The Open Library:

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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