Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests

Filipe J. Marques; Frank P. A. Coolen; Tahani Coolen-Maturi

doi:10.1007/s42519-018-0020-9

Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests

Filipe J. Marques, Frank P. A. Coolen, Tahani Coolen-Maturi

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

3 Citations (Scopus)

92 Downloads (Pure)

Abstract

This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibility for tests between two beta distributions. The paper reports on the first steps of a wider research programme towards tests involving composite hypotheses and substantial computational challenges.

Original language	English
Article number	15
Journal	Journal of Statistical Theory and Practice
Volume	13
Issue number	1
DOIs	https://doi.org/10.1007/s42519-018-0020-9
Publication status	Published - Mar 2019

Keywords

Beta distribution
Likelihood ratio test
Lower and upper probabilities
Nonparametric predictive inference
Reproducibility probability

Access to Document

10.1007/s42519-018-0020-9

NPI_RP_LRT_R1Accepted author manuscript, 344 KB

Cite this

@article{49892ac0f28d4d85b65fe1c62575ea7e,

title = "Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests",

abstract = "This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibility for tests between two beta distributions. The paper reports on the first steps of a wider research programme towards tests involving composite hypotheses and substantial computational challenges.",

keywords = "Beta distribution, Likelihood ratio test, Lower and upper probabilities, Nonparametric predictive inference, Reproducibility probability",

author = "Marques, {Filipe J.} and Coolen, {Frank P. A.} and Tahani Coolen-Maturi",

note = "info:eu-repo/grantAgreement/FCT/5876/147204/PT# ",

year = "2019",

month = mar,

doi = "10.1007/s42519-018-0020-9",

language = "English",

volume = "13",

journal = "Journal of Statistical Theory and Practice",

issn = "1559-8608",

publisher = "Taylor & Francis",

number = "1",

}

TY - JOUR

T1 - Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests

AU - Marques, Filipe J.

AU - Coolen, Frank P. A.

AU - Coolen-Maturi, Tahani

N1 - info:eu-repo/grantAgreement/FCT/5876/147204/PT#

PY - 2019/3

Y1 - 2019/3

N2 - This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibility for tests between two beta distributions. The paper reports on the first steps of a wider research programme towards tests involving composite hypotheses and substantial computational challenges.

AB - This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibility for tests between two beta distributions. The paper reports on the first steps of a wider research programme towards tests involving composite hypotheses and substantial computational challenges.

KW - Beta distribution

KW - Likelihood ratio test

KW - Lower and upper probabilities

KW - Nonparametric predictive inference

KW - Reproducibility probability

UR - http://www.scopus.com/inward/record.url?scp=85082190039&partnerID=8YFLogxK

U2 - 10.1007/s42519-018-0020-9

DO - 10.1007/s42519-018-0020-9

M3 - Article

AN - SCOPUS:85082190039

SN - 1559-8608

VL - 13

JO - Journal of Statistical Theory and Practice

JF - Journal of Statistical Theory and Practice

IS - 1

M1 - 15

ER -

Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this