Some distribution-free k-sample rank tests of homogeneity against ordered alternatives

dc.contributor.authorPuri, Madan L.
dc.date.accessioned2018-06-14T14:55:19Z
dc.date.available2018-06-14T14:55:19Z
dc.date.issued1965-05
dc.descriptionPublisher's, offprint version.en
dc.description.abstractA problem which occurs frequently in statistical analysis is that of deciding whether several samples should be regarded as coming from the same population. This problem, usually referred to as the k-sample problem, when expressed formally is stated as follows: Let $X_{ii} , j = 1, · · · , m_i, i = 1, · · · , k,$ be a set of independent random variables and let $F_i(x)$ be the probability distribution function of $X_{ii}$ . The set of admissible hypotheses designates that each $F_i$ belongs to some class of distribution functions $\Omega$.en
dc.identifier.citationPuri, M. L. "Some distribution- free k-sample rank tests of homogeneity against ordered alternatives." Communications on Pure and Applied Mathematics (1965), Volume 18 Issue 1, 51-63.en
dc.identifier.doihttps://doi.org/10.1002/cpa.3160180108
dc.identifier.urihttps://hdl.handle.net/2022/22199
dc.language.isoenen
dc.publisherCommunications on Pure and Applied Mathematicsen
dc.relation.isversionofhttps://onlinelibrary.wiley.com/doi/abs/10.1002/cpa.3160180108en
dc.titleSome distribution-free k-sample rank tests of homogeneity against ordered alternativesen
dc.typeArticleen

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