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Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ

Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449642957

Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ

About this item

Full title

Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ

Publisher

England: Taylor & Francis

Journal title

Journal of applied statistics, 2020-12, Vol.47 (16), p.2984-3006

Language

English

Formats

Publication information

Publisher

England: Taylor & Francis

More information

Scope and Contents

Contents

Bayesian inference for rank-order problems is frustrated by the absence of an explicit likelihood function. This hurdle can be overcome by assuming a latent normal representation that is consistent with the ordinal information in the data: the observed ranks are conceptualized as an impoverished reflection of an underlying continuous scale, and inf...

Alternative Titles

Full title

Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2449642957

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2449642957

Other Identifiers

ISSN

0266-4763

E-ISSN

1360-0532

DOI

10.1080/02664763.2019.1709053

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