Re-sampling methods for testing for location against unrestricted and ordered alternatives

Gutti Jogesh Babu; A. R. Padmanabhan

doi:10.1016/j.jspi.2007.03.010

Re-sampling methods for testing for location against unrestricted and ordered alternatives

Gutti Jogesh Babu, A. R. Padmanabhan

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Robust tests are proposed for unrestricted and ordered alternatives in the multi-sample problem without assuming homogeneity of scales and/or symmetry of the underlying distributions. The methodology consists of bootstrapping appropriately centered Mann-Whitney statistics. Data sets from Physics and Psychology illustrate the methodology.

Original language	English (US)
Pages (from-to)	3261-3267
Number of pages	7
Journal	Journal of Statistical Planning and Inference
Volume	137
Issue number	11
DOIs	https://doi.org/10.1016/j.jspi.2007.03.010
State	Published - Nov 1 2007

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1016/j.jspi.2007.03.010

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title = "Re-sampling methods for testing for location against unrestricted and ordered alternatives",

abstract = "Robust tests are proposed for unrestricted and ordered alternatives in the multi-sample problem without assuming homogeneity of scales and/or symmetry of the underlying distributions. The methodology consists of bootstrapping appropriately centered Mann-Whitney statistics. Data sets from Physics and Psychology illustrate the methodology.",

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JO - Journal of Statistical Planning and Inference

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Re-sampling methods for testing for location against unrestricted and ordered alternatives

Abstract

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