Tests of hypotheses based on ranks in the general linear model

McKean, Joseph W.; Hettmansperger, Thomas P.

doi:10.1080/03610927608827388

Cited by 94 publications

(60 citation statements)

References 7 publications

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“…He showed how estimates based on linear rank statistics can arise with a suitable choice of dispersion function. This approach has been further extended by Hettmansperger and McKean (1976) , ( 1978b .…”

Section: Z -Z (5 )-Y -X Bmentioning

confidence: 99%

A weighted dispersion function for estimation in linear models

Sievers

1983

Communications in Statistics - Theory and Methods

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Section: Z -Z (5 )-Y -X Bmentioning

confidence: 99%

A weighted dispersion function for estimation in linear models

Sievers

1983

Communications in Statistics - Theory and Methods

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“…Drop in dispersion or reduction in dispersion tests are the rank-based analogues of the traditional log likelihood tests; see McKean and Hettmansperger (1976) LetˆH…”

Section: Drop In Dispersion Testsmentioning

confidence: 99%

Rank-Based Analysis of Unbalanced Repeated Measures Data

Rashid¹,

McKean

Kloke³

2012

Pak.j.stat.oper.res.

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In this article, we have developed a rank (intra-subject) based analysis of clinical trials with unbalanced repeated measures data. We assume that the errors within each patient are exchangeable and continuous random variables. This rank-based inference is valid when the unbalanced data are missing either completely at random or by design. A drop in dispersion test is developed for general linear hypotheses. A numerical example is given to illustrate the procedure.

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“…Three of these methodologies, scattered through the literature, are described by McKean and Hettmansperger (1976), Sen and Puri (1977) and Adichie (1978). In addition, we will introduce a fourth approach in this paper based on a suggestion of Bickel (1976) in the context of H-estimation.…”

Section: Introductionmentioning

confidence: 99%

“…McKean and Hettmansperger (1976) and Sen and Puni (1977) discuss only the rank score tests while Adichie (1978) discusses both rank and signed rank score tests. The Monte Carlo study includes both types in order that their small sample behavior can be compared.…”

Section: Introductionmentioning

confidence: 99%