Regression & Linear Modeling: Best Practices and Modern Methods
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- Synopsis
- 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.
- Copyright:
- 2017
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 488 Pages
- ISBN-13:
- 9781506302782
- Related ISBNs:
- 9781506302751, 9781506302775, 9781506302768
- Publisher:
- SAGE Publications
- Date of Addition:
- 09/10/21
- Copyrighted By:
- SAGE Publications, Inc.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Psychology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.