Analytic perturbations and systematic bias in staistical modeling and inference

dc.contributor.authorFilar, Jerzy A
dc.contributor.authorHudson, Irene
dc.contributor.authorMathew, Thomas
dc.contributor.authorSinha, Bimal
dc.date.accessioned2012-10-30T23:08:57Z
dc.date.available2012-10-30T23:08:57Z
dc.date.issued2008
dc.descriptionSource: N. Balakrishnan, Edsel A. Peña and Mervyn J. Silvapulle, eds., Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen (Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2008), 17-34.en
dc.description.abstractIn this paper we provide a comprehensive study of statistical inference in linear and allied models which exhibit some analytic perturbations in their design and covariance matrices. We also indicate a few potential applications. In the theory of perturbations of linear operators it has been known for a long time that the so-called “singular perturbations” can have a big impact on solutions of equations involving these operators even when their size is small. It appears that so far the question of whether such undesirable phenomena can also occur in statistical models and their solutions has not been formally studied. The models considered in this article arise in the context of nonlinear models where a single parameter accounts for the nonlinearity.en
dc.identifier.citationFilar, J.A., Hudson, I., Mathew, T. and Sinha, B., 2008. Analytic perturbations and systematic bias in statistical modeling and inference. IMS Collection 2008, 1, 17-34.en
dc.identifier.issn1939-4039
dc.identifier.urihttp://hdl.handle.net/2328/26394
dc.language.isoen
dc.oaire.license.condition.licenseIn Copyright
dc.publisherInstitute of Mathematical Statisticsen
dc.subjectMathematicsen
dc.subjectAnalytic perturbationen
dc.subjectDesign matrixen
dc.subjectFactor analysisen
dc.titleAnalytic perturbations and systematic bias in staistical modeling and inferenceen
dc.typeArticleen
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