Inferences for multiple interval type-I censoring scheme.

Content Provider	Europe PMC
Author	Agnihotri, Shubham Kumar Singh, Sanjay Singh, Umesh
Copyright Year	2021
Abstract	In this paper, we have introduced a new type of censoring scheme named the multiple interval type-I censoring scheme. Further, We have assumed that the test units are drawn from the Weibull population. We have also proposed the maximum product of spacing estimators for unknown parameters under the multiple interval type-I censoring scheme and compare them with the existing maximum likelihood estimators. In addition to this, the Bayes estimators for shape and scale parameters are also obtained under the squared error loss function. Their corresponding asymptotic confidence/credible intervals are also discussed. A real data set containing the breakdown time of insulating fluids are used to demonstrate the appropriateness of the proposed methodology.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9754038&blobtype=pdf
Page Count	20
ISSN	02664763
Volume Number	50
DOI	10.1080/02664763.2021.1981832
PubMed Central reference number	PMC9754038
Issue Number	1
PubMed reference number	36530775
Journal	Journal of Applied Statistics [J Appl Stat]
e-ISSN	13600532
Language	English
Publisher	Taylor & Francis
Publisher Date	2021-10-04
Access Restriction	Open
Rights License	© 2021 Informa UK Limited, trading as Taylor & Francis Group
Subject Keyword	Maximum likelihood estimators maximum product of spacing estimators multiple interval censoring scheme type-I censoring scheme Weibull distribution
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty