Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring

In this paper, we propose a new type censoring scheme named a generalized adaptive progressive hybrid censoring scheme (GenAdPrHyCS). In this new type censoring scheme, the experiment is assured to stop at a pre-assigned time. This censoring scheme is designed to correct the drawbacks in the AdPrHyC...

Full description

Bibliographic Details
Main Authors: Hyojin Lee, Kyeongjun Lee
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/7/1149
_version_ 1797562923987501056
author Hyojin Lee
Kyeongjun Lee
author_facet Hyojin Lee
Kyeongjun Lee
author_sort Hyojin Lee
collection DOAJ
description In this paper, we propose a new type censoring scheme named a generalized adaptive progressive hybrid censoring scheme (GenAdPrHyCS). In this new type censoring scheme, the experiment is assured to stop at a pre-assigned time. This censoring scheme is designed to correct the drawbacks in the AdPrHyCS. Furthermore, we discuss inference for one parameter exponential distribution (ExD) under GenAdPrHyCS. We derive the moment generating function of the maximum likelihood estimator (MLE) of scale parameter of ExD and the resulting lower confidence bound under GenAdPrHyCS.
first_indexed 2024-03-10T18:35:30Z
format Article
id doaj.art-5636c6f9461645b3ab3605d4d305ad8c
institution Directory Open Access Journal
issn 2073-8994
language English
last_indexed 2024-03-10T18:35:30Z
publishDate 2020-07-01
publisher MDPI AG
record_format Article
series Symmetry
spelling doaj.art-5636c6f9461645b3ab3605d4d305ad8c2023-11-20T06:16:32ZengMDPI AGSymmetry2073-89942020-07-01127114910.3390/sym12071149Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid CensoringHyojin Lee0Kyeongjun Lee1HR Strategy Team, Hyundai Motor Company, Seoul 06797, KoreaDivision of Mathematics and Big Data Science, Daegu University, Gyeongsan 38453, KoreaIn this paper, we propose a new type censoring scheme named a generalized adaptive progressive hybrid censoring scheme (GenAdPrHyCS). In this new type censoring scheme, the experiment is assured to stop at a pre-assigned time. This censoring scheme is designed to correct the drawbacks in the AdPrHyCS. Furthermore, we discuss inference for one parameter exponential distribution (ExD) under GenAdPrHyCS. We derive the moment generating function of the maximum likelihood estimator (MLE) of scale parameter of ExD and the resulting lower confidence bound under GenAdPrHyCS.https://www.mdpi.com/2073-8994/12/7/1149adaptive progressive hybrid censoringexact likelihood inferencegeneralized adaptive progressive hybrid censoring schememoment generating function
spellingShingle Hyojin Lee
Kyeongjun Lee
Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring
Symmetry
adaptive progressive hybrid censoring
exact likelihood inference
generalized adaptive progressive hybrid censoring scheme
moment generating function
title Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring
title_full Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring
title_fullStr Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring
title_full_unstemmed Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring
title_short Exact Likelihood Inference for an Exponential Parameter under Generalized Adaptive Progressive Hybrid Censoring
title_sort exact likelihood inference for an exponential parameter under generalized adaptive progressive hybrid censoring
topic adaptive progressive hybrid censoring
exact likelihood inference
generalized adaptive progressive hybrid censoring scheme
moment generating function
url https://www.mdpi.com/2073-8994/12/7/1149
work_keys_str_mv AT hyojinlee exactlikelihoodinferenceforanexponentialparameterundergeneralizedadaptiveprogressivehybridcensoring
AT kyeongjunlee exactlikelihoodinferenceforanexponentialparameterundergeneralizedadaptiveprogressivehybridcensoring