Asymptotic expansions for test statistics and tests for normality based on robust regression

buir.supervisorZaman, Asad
dc.contributor.authorÖnder, A. Özlem
dc.date.accessioned2016-01-08T20:20:28Z
dc.date.available2016-01-08T20:20:28Z
dc.date.issued1999
dc.descriptionCataloged from PDF version of article.
dc.descriptionAnkara : Department of Economics of Bilkent University, 1999.en_US
dc.descriptionThesis (Ph.D.) -- Bilkent University, 1999.en_US
dc.descriptionIncludes bibliographical references (leaves 62-69).en_US
dc.description.abstractThis dissertation focuses on two different topics in econometrics. The first one is presented in Chapter 2 and is related to higher order asymptotic theory. The power of the Lagrange multiplier, Wald and likelihood ratio tests for the first order autoregressive model is compared through the approximations to the distributions of these three tests. The adequacy of the approximation is examined. The Wald and likelihood ratio tests are found to have superior performance than the Lagrange multiplier test. The comparisons are done according to stringency of the test statistics. As a second topic in Chapter 3, the dissertation examines the use of residuals from robust regression instead of OLS residuals in test statistics for the normality of the errors. According to simulation results their improvement over standard normality tests is found only in specialized circumstances. The applications on real data set show these conditions occur often enough in practice.
dc.description.provenanceMade available in DSpace on 2016-01-08T20:20:28Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilityby A. Özlem Önderen_US
dc.format.extentix, 81 leaves ; 30 cm.en_US
dc.identifier.itemidB049273
dc.identifier.urihttp://hdl.handle.net/11693/18569
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAsymptotic expansion
dc.subjectAutoregressive model
dc.subjectStringency
dc.subjectNormality test
dc.subjectRobust regression
dc.titleAsymptotic expansions for test statistics and tests for normality based on robust regressionen_US
dc.title.alternativeTest istatistikleri için asimptotik açılımlar ve güçlü regresyona dayalı normal dağılım testleri
dc.typeThesisen_US
thesis.degree.disciplineEconomics
thesis.degree.grantorBilkent University
thesis.degree.levelDoctoral
thesis.degree.namePh.D. (Doctor of Philosophy)

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