Bibliograph

Regression & linear modeling, best practices and modern methods, Jason W. Osborne

Type

Label

Regression & linear modeling, best practices and modern methods, Jason W. Osborne

Bibliography note

Includes bibliographical references and index

Illustrations

mapsphotographs

Main title

Regression & linear modeling

Medium

electronic resource

Nature of contents

dictionariesencyclopedias

Oclc number

1136122004

Responsibility statement

Jason W. Osborne

Series statement

SAGE research methods

Sub title

best practices and modern methods

Summary

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. The author 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.--, Provided by publisher

Creator