Inference and optimal censoring scheme for a competing-risks model with type-II progressive censoring-Reference-Cited by-同舟云学术

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Inference and optimal censoring scheme for a competing-risks model with type-II progressive censoring

Published:2023-07-18 Issue: Volume: Page:1-39
ISSN:0889-8480
Container-title:Mathematical Population Studies
language:en
Short-container-title:Mathematical Population Studies

Author:

Tian Yajie¹,Liang Yingna¹,Gui Wenhao¹

Affiliation:

1. Department of Data Science, School of Mathematics and Statistics, Beijing Jiaotong University, China

Funder

Development Project of China Railway

Fund of China Academy of Railway Sciences Corporation Limited

Publisher

Informa UK Limited

Subject

General Agricultural and Biological Sciences,Geography, Planning and Development,Demography,General Mathematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/08898480.2023.2225349

Reference32 articles.

1. Inference of progressively type-II censored competing risks data from Chen distribution with an application

2. Inference for Weibull distribution under adaptive Type-I progressive hybrid censored competing risks data

3. Exact inference for a simple step-stress model with competing risks for failure from exponential distribution under Type-II censoring

4. A Simple Simulational Algorithm for Generating Progressive Type-II Censored Samples

5. Parameter estimation for the Moore-Bilikam distribution under progressive type-II censoring, with application to failure times

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1. Estimation in generalized uniform distribution with progressively type-II censored sample;Life Cycle Reliability and Safety Engineering;2024-08-17

2. Parameter estimation of inverse Weibull distribution under competing risks based on the expectation–maximization algorithm;Quality and Reliability Engineering International;2024-06-09

3. Parameter Estimation of Birnbaum-Saunders Distribution under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm;Mathematics;2024-06-05

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