Regression Diagnostics
Subtitle: An Introduction
Edition: 3rd ed.
Series: Quantitative applications in the social sciences ; 79
Publisher: SAGE Publications, Incorporated
Published: 2020
Place of publication: Corwin, Canada
Language: eng
Format: Paperback
Number of pages: 168
ISBN-13: 9781544375229
Copyright date: 2020 by SAGE Publications, Inc.
Subjects: Mathematics
Description: "Regression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (straight-line) relationship between the response and an explanatory variable, is the assumption of linearity warranted? Regression diagnostics not only reveal deficiencies in a regression model that has been fit to data but in many instances may suggest how the model can be improved. The Second Edition of this bestselling volume by John Fox considers two important classes of regression models: the normal linear regression model (LM), in which the response variable is quantitative and assumed to have a normal distribution conditional on the values of the explanatory variables; and generalized linear models (GLMs) in which the conditional distribution of the response variable is a member of an exponential family. R code for examples within the text can be found on an accompanying website"-- Provided by publisher.
Notes: **Manufactured in the USA / Includes bibliographical references and index. /
Invalid ISBN: 9781544375212; 9781544375205; 9781544375199

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