Estimation in two sample type II censoring models

K. G. Mehrotra; A. Schick; V. Susarla

doi:10.1016/0167-7152(90)90089-P

Estimation in two sample type II censoring models

K. G. Mehrotra, A. Schick, V. Susarla

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we discuss estimation in two-sample problems where each sample is subjected to type II censoring. We propose estimates that are appropriate modifications of asymptotically efficient estimates in related fixed time censoring models. These modifications are carried out in detail for the location case and sketched for the scale case. We have carried out a simulation study to see how well the suggested estimates perform in small to moderate sample sizes.

Original language	English (US)
Pages (from-to)	13-22
Number of pages	10
Journal	Statistics and Probability Letters
Volume	9
Issue number	1
DOIs	https://doi.org/10.1016/0167-7152(90)90089-P
State	Published - Jan 1990

Keywords

Type II censoring
efficient estimators
fixed time censoring
location and scale estimators

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1016/0167-7152(90)90089-P

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abstract = "In this paper, we discuss estimation in two-sample problems where each sample is subjected to type II censoring. We propose estimates that are appropriate modifications of asymptotically efficient estimates in related fixed time censoring models. These modifications are carried out in detail for the location case and sketched for the scale case. We have carried out a simulation study to see how well the suggested estimates perform in small to moderate sample sizes.",

keywords = "Type II censoring, efficient estimators, fixed time censoring, location and scale estimators",

author = "Mehrotra, {K. G.} and A. Schick and V. Susarla",

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year = "1990",

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KW - Type II censoring

KW - efficient estimators

KW - fixed time censoring

KW - location and scale estimators

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Estimation in two sample type II censoring models

Abstract

Keywords

ASJC Scopus subject areas

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