Regression & Linear Modeling

Best Practices and Modern Methods

Nonfiction, Health & Well Being, Psychology, Statistics, Reference & Language, Reference, Research
Cover of the book Regression & Linear Modeling by Jason W. Osborne, SAGE Publications
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Author: Jason W. Osborne ISBN: 9781506302782
Publisher: SAGE Publications Publication: March 24, 2016
Imprint: SAGE Publications, Inc Language: English
Author: Jason W. Osborne
ISBN: 9781506302782
Publisher: SAGE Publications
Publication: March 24, 2016
Imprint: SAGE Publications, Inc
Language: English

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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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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