Some results in nonleast squares regression analysis

Simple item page
dc.contributor.advisorRhodes, Benjamin T., Jr.
dc.contributor.committeeMemberAnder, Willard N., Jr.
dc.contributor.committeeMemberElrod, John T.
dc.contributor.committeeMemberHedgcoxe, Pat G.
dc.contributor.committeeMemberSinkhorn, Richard D.
dc.creatorGray, Albert Glen
dc.date.accessioned2022-11-10T16:35:52Z
dc.date.available2022-11-10T16:35:52Z
dc.date.issued1972
dc.description.abstractThis thesis considers the regression analysis problem in which the estimators of the parameters are selected according to some criterion other than least squares. Two basic areas are considered. First, some basic properties are derived for the estimators that minimize the sum of the absolute values of the residuals raised to the X power. Both the homoscedastic and heteroscedastic cases are considered. Second, procedures for estimating weights for two types of heteroscedastic models are presented.
dc.description.departmentIndustrial Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other13842711
dc.identifier.urihttps://hdl.handle.net/10657/12599
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleSome results in nonleast squares regression analysis
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentIndustrial Engineering, Department of
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Gray_1972_13842711.pdf
Size:
2.72 MB
Format:
Adobe Portable Document Format
Download

Collections

Legacy Theses and Dissertations (1940-2009)