AMPSE of the Weibull Distribution based on Progressive Hybrid Censoring

• 발행기관: 한국자료분석학회
• 저자명: Subin Cho Kyeongjun Lee
• 간행물 정보: 『한국자료분석학회 학술대회자료집』2021년 동계학술대회 발표집, 123~125쪽, 전체 3쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2022.01.27

영문 초록

Under classical estimation set up, the maximum product spacings estimation method is quite effective and several authors advocated the use of this method as an alternative to maximum likelihood estimation method, and found that this estimation method provides better estimates than maximum likelihood estimates in various situations. In this paper, we propose the estimators of the parameters of the Weibull distribution under progressive hybrid censoring scheme. First, we derive the maximum product spacings estimators for the parameters of Weibull distribution. Also, we derive the approximate maximum product spacings estimators for the parameters of Weibull distribution using Talyor series expansion. And we compare the proposed estimators in the sense of mean squared error and bias under progressive hybrid censoring scheme. Finally, the validity of the proposed methods are demonstrated by a real data.

목차

Ⅰ. Introduction

References

키워드

Approximate maximum product spacings estimator maximum product spacings estimator progressive hybrid censoring Taylor series expansion Weibull distribuiton