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Optimal confidence regions for the two-parameter exponential distribution based on records


Citation

Asgharzadeh, Akbar and Bagheri, S. F. and Ibrahim, Noor Akma and Abu Bakar, Mohd Rizam (2020) Optimal confidence regions for the two-parameter exponential distribution based on records. Computational Statistics, 35. 309 - 326. ISSN 0943-4062; ESSN:1613-9658

Abstract

In this article, we propose two families of optimal confidence regions for the location and scale parameters of the two-parameter exponential distribution based on upper records. Constrained optimization problems are used to find the smallest-area confidence regions for the exponential parameters with a specified confidence level. Optimal prediction interval for the future records is also proposed. Two numerical examples as well as a simulation study, are presented for illustrative purposes. It is shown that the reduction in area of the optimal joint confidence region with respect to the existing confidence regions is substantial.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.1007/s00180-019-00914-x
Publisher: Springer
Keywords: Constrained optimization; Lagrangian method; Joint confidence regions
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 10 Jan 2022 07:26
Last Modified: 10 Jan 2022 07:26
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s00180-019-00914-x
URI: http://psasir.upm.edu.my/id/eprint/86992
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