Testing for stochastic ordering is of considerable importance when increasing does of a treatment are being compared, but in applications involving multivariate responses has received much less attention. We propose a permutation test for testing against multivaniate stochastic ordering. This test is distribution-free and no assumption is made about the dependence relations among variables. A comparative simulation study shows that the proposed solution exhibits a good overall performance when compared with existing tests that can be used for the same problem. (c) 2007 Elsevier B.V. All rights reserved

Finos, L., Salmaso, L., Solari, A. (2007). Conditional inference under simultaneous stochastic ordering constraints. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 137(8), 2633-2641 [10.1016/j.jspi.2006.04.014].

Conditional inference under simultaneous stochastic ordering constraints

SOLARI, ALDO
2007

Abstract

Testing for stochastic ordering is of considerable importance when increasing does of a treatment are being compared, but in applications involving multivariate responses has received much less attention. We propose a permutation test for testing against multivaniate stochastic ordering. This test is distribution-free and no assumption is made about the dependence relations among variables. A comparative simulation study shows that the proposed solution exhibits a good overall performance when compared with existing tests that can be used for the same problem. (c) 2007 Elsevier B.V. All rights reserved
Articolo in rivista - Articolo scientifico
Combining dependent permutation tests; Multiple testing; Order-restricted inference; Permutation test; Stochastic ordering
English
2007
137
8
2633
2641
none
Finos, L., Salmaso, L., Solari, A. (2007). Conditional inference under simultaneous stochastic ordering constraints. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 137(8), 2633-2641 [10.1016/j.jspi.2006.04.014].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/20432
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