Regression & Linear Modeling Best Practices and Modern Methods 1st edition by Jason Osborne – Ebook PDF Instant Download/Delivery: 1506302769, 978-1506302768
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Product details:
ISBN 10: 1506302769
ISBN 13: 978-1506302768
Author: Jason Osborne
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.
Regression & Linear Modeling Best Practices and Modern Methods 1st Table of contents:
Chapter 1. A Nerdly Manifesto
Chapter 2. Basic Estimation and Assumptions
Chapter 3. Simple Linear Models With Continuous Dependent Variables: Simple Regression Analy
Chapter 4. Simple Linear Models With Continuous Dependent Variables: Simple ANOVA Analyses
Chapter 5. Simple Linear Models With Categorical Dependent Variables: Binary Logistic Regression
Chapter 6. Simple Linear Models With Polytomous Categorical Dependent Variables: Multinomial and Ordinal Logistic Regression
Chapter 7. Simple Curvilinear Models
Chapter 8. Multiple Independent Variables
Chapter 9. Interactions Between Independent Variables: Simple Moderation
Chapter 10. Curvilinear Interactions Between Independent Variables
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