The admissibility of the p-value for the testing of parameters in the Pareto distribution

Authors

  • Farshin Hormozinejad Department of statistics, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
  • Masoumeh Babadi Department of statistics, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran. Ahvaz, Iran
  • Ali Zaherzadeh Department of mathematics, Jundi-Shapur University of Technology, Dezful, Iran.

Keywords:

Admissibility, Bayes estimator, Decision the- ory, Hypothesis testing, p-value.

Abstract

In this paper the problem of hypothesis testing is consid-ered as an estimation problem within a decision-theoretic framework forestimating the accuracy of the test. The usual p-value is an admissi-ble estimator for the one-sided testing of the scale parameter under thesquared error loss function in the Pareto distribution. In the presence ofnuisance parameter for model, the generalized p-value is inadmissible.Even though the usual p-value and the generalized p-value are inadmis-sible estimators for the one-sided testing of the shape parameter, it isdicult to exhibit a better estimator than the usual p-value. For thetwo-sided testing, although the usual p-value is generally inadmissible, ithas been shown that the usual p-value as an estimator for the two-sidedtesting of the shape parameter may not be too bad.

Downloads

Published

2021-08-08

Issue

Section

Vol. 16, No. 5, (2022)