Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values

Using the data for upper record values, the interval estimation for the scale parameter of two-parameter exponential distribution is presented. In addition, two methods for the joint confidence region of two parameters are proposed. In terms of confidence region area, the simulation comparison of tw...

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Main Author: Shu-Fei Wu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/14/9/1906
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author Shu-Fei Wu
author_facet Shu-Fei Wu
author_sort Shu-Fei Wu
collection DOAJ
description Using the data for upper record values, the interval estimation for the scale parameter of two-parameter exponential distribution is presented. In addition, two methods for the joint confidence region of two parameters are proposed. In terms of confidence region area, the simulation comparison of two methods of the confidence region is performed in this paper. The criterion of minimum confidence region area is used to obtain the optimal method of the confidence region. To illustrate our proposed interval estimation methods, one biometrical example is used and the corresponding confidence interval length and confidence region area are also calculated. Our research topic is related to the asymmetrical probability distributions and applications across disciplines.
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spelling doaj.art-58e6a247db01400d8515013e9f81dc392023-11-23T19:12:57ZengMDPI AGSymmetry2073-89942022-09-01149190610.3390/sym14091906Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record ValuesShu-Fei Wu0Department of Statistics, Tamkang University, Tamsui, Taipei 251301, TaiwanUsing the data for upper record values, the interval estimation for the scale parameter of two-parameter exponential distribution is presented. In addition, two methods for the joint confidence region of two parameters are proposed. In terms of confidence region area, the simulation comparison of two methods of the confidence region is performed in this paper. The criterion of minimum confidence region area is used to obtain the optimal method of the confidence region. To illustrate our proposed interval estimation methods, one biometrical example is used and the corresponding confidence interval length and confidence region area are also calculated. Our research topic is related to the asymmetrical probability distributions and applications across disciplines.https://www.mdpi.com/2073-8994/14/9/1906exponential distributionupper record valueconfidence intervalconfidence region
spellingShingle Shu-Fei Wu
Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
Symmetry
exponential distribution
upper record value
confidence interval
confidence region
title Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
title_full Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
title_fullStr Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
title_full_unstemmed Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
title_short Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values
title_sort interval estimation for the two parameter exponential distribution based on the upper record values
topic exponential distribution
upper record value
confidence interval
confidence region
url https://www.mdpi.com/2073-8994/14/9/1906
work_keys_str_mv AT shufeiwu intervalestimationforthetwoparameterexponentialdistributionbasedontheupperrecordvalues