Statistical inference based on incomplete blocks designs

dc.contributor.authorPuri, Madan L.
dc.contributor.authorShane, Harold D.
dc.date.accessioned2018-05-09T14:30:20Z
dc.date.available2018-05-09T14:30:20Z
dc.date.issued1970
dc.descriptionPublisher's, offprint version
dc.description.abstractIn an earlier paper (Shane and Puri, 1969), the authors developed a class of asymptotically nonparametric tests for a bivariate paired comparison model. This paper unifies and complements the results of the previous paper by deriving a class of genuinely distribution free tests for the same problem but under the more general framework of $p(\ge2)$-­variate situations. This is done by exploiting the theory of permutation distribution under sign invariant transformations to a class of rank order statistics. Asymptotic properties of these permutation rank order tests are studied and certain stochastic equivalence relationship with a similar class of multisample extensions of the $p$-variate one sample rank order tests proposed by Sen and Puri (1967) are derived. The asymptotic power properties of these tests are also studied.
dc.identifier.citationPuri, M. L. "Statistical inference based on incomplete blocks designs." In Nonparametric Techniques in Statistical Inference, Cambridge University Press (1970), 131–153. Co-author: H. Shane.
dc.identifier.isbn9780521093057
dc.identifier.urihttps://hdl.handle.net/2022/22107
dc.language.isoen
dc.publisherCambridge University Press
dc.relation.isversionofhttp://www.cambridge.org/us/academic/subjects/statistics-probability/statistical-theory-and-methods/nonparametric-techniques-statistical-inference?format=PB&isbn=9780521093057#rXDf5TVIYdCI4K1I.97
dc.rightsThis work may be protected by copyright unless otherwise stated.
dc.titleStatistical inference based on incomplete blocks designs
dc.typeBook chapter

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