Regression & Linear Modeling

Best Practices and Modern Methods

by

Subject categories
ISBNs
  • 9781506302768
  • 9781506302751
  • 9781506302782
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.
  • SAGE Publications; March 2016
  • ISBN: 9781506302751
  • Edition: 1
  • Read online, or download in secure PDF or secure EPUB format
  • Title: Regression & Linear Modeling
  • Author: Jason W. Osborne
  • Imprint: SAGE Publications, Inc
Subject categories
ISBNs
  • 9781506302768
  • 9781506302751
  • 9781506302782

In The Press

“I really enjoyed reading this, which is rare to say about a statistics textbook. The style of writing is very approachable, and the material is presented in a way that is informative even to someone who thinks about these topics often.”

Subject categories
ISBNs
  • 9781506302768
  • 9781506302751
  • 9781506302782