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Heteroskedasticity in regression : detection and correction / Robert L. Kaufman.
Author
Kaufman, Robert L.
[Browse]
Format
Book
Language
English
Published/Created
Thousand Oaks, California : SAGE Publications, [2013]
©2013
Description
xiv, 97 pages : illustrations ; 22 cm.
Details
Subject(s)
Heteroscedasticity
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Regression analysis
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Least squares
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Econometrics
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Social sciences
—
Statistical methods
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Series
Quantitative applications in the social sciences ; no. 07-172.
[More in this series]
Series: Quantitative applications in the social sciences ; 172
Summary note
"Covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction."-- Publisher description.
Notes
Series numbering on spine: 07-172; on cover: 172.
Bibliographic references
Includes bibliographical references (pages 89-90) and indexes.
Contents
What is heteroskedasticity and why should we care? -- Detecting and diagnosing heteroskedasticity -- Variance-stabilizing transformations to correct for heteroskedasticity -- Heteroskedasticity-consistent (robust) standard errors -- (Estimated) generalized least squares regression model for heteroskedasticity -- Choosing among correction options -- Appendix: miscellaneous derivations and tables.
ISBN
1452234957
9781452234953
OCLC
823577885
RCP
N - S
Supplementary Information
Other versions
Heteroskedasticity in regression : detection and correction / Robert L. Kaufman.
Id
7695462
Heteroskedasticity in regression : detection and correction / Robert L. Kaufman.
Id
9932455