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

By: Series: Publication details: London: Sage Publications, 2013.Description: xiv, 97 p. illustrationsISBN:
  • 9781452234953
Subject(s): DDC classification:
  • 300.727 Q3
Online resources:
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.
Summary: "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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Mahatma Gandhi University Library General Stacks 300.727 Q3 (Browse shelf(Opens below)) Available 56356
Total holds: 0

Series numbering on spine: 07-172; on cover: 172.

Includes bibliographical references (pages 89-90) and indexes.

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.

"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.

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