Inference for an Exponential Distribution based on Combined Generalized Progressive Hybrid Censoring

• 발행기관: 한국자료분석학회
• 저자명: Yeongjae Seong Kyeongjun Lee
• 간행물 정보: 『한국자료분석학회 학술대회자료집』2021년 동계학술대회 발표집, 119~121쪽, 전체 3쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2022.01.27

영문 초록

In this paper, we propose a new type censoring scheme named a combined generalized progressive hybrid censoring scheme. 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 generalized progressive hybrid censoring scheme. Also, we discuss inference for one parameter exponential distribution under combined generalized progressive hybrid censoring scheme. We derive the moment generating function of the maximum likelihood estimator of scale parameter of exponential distribution and the resulting lower confidence bound under combined generalized progressive hybrid censoring scheme.

목차

Ⅰ. Introduction

References

키워드

combined generalized progressive hybrid censoring scheme exact likelihood inference generalized progressive hybrid censoring moment generating function