Heteroskedasticity in regression detection and correction / Robert L. Kaufman.

Author/creator Kaufman, Robert L.
Format Electronic
Publication InfoThousand Oaks, California : SAGE Publications, [2013]
Descriptionxiv, 97 pages : illustrations ; 22 cm.
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects

SeriesSeries: Quantitative applications in the social sciences ; 172.
Quantitative applications in the social sciences ; no. 07-172. ^A5424
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.
Abstract "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.
General noteSeries numbering on spine: 07-172; on cover: 172.
Bibliography noteIncludes bibliographical references (pages 89-90) and indexes.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2012361596
ISBN1452234957
ISBN9781452234953

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