Optimal Allocation for Extreme Value Regression Under Time Censoring

DOI10.1007/978-3-030-42196-0_12OpenAlexW3048908525MaRDI QIDQ5050417

Ping Shing Chan, Wei Gao, Hon Keung Tony Ng, Hon-Yiu So

Publication date: 15 November 2022

Published in: Emerging Topics in Statistics and Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-42196-0_12

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• R
• SAS
• SAS/STAT

Cites Work

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• Confidence Limits for Weibull Regression With Censored Data
• Optimal design of partially accelerated life tests for the exponential distribution under type-I censoring
• Theory for Optimum Censored Accelerated Life Tests for Normal and Lognormal Life Distributions
• Theory for Optimum Accelerated Censored Life Tests for Weibull and Extreme Value Distributions
• An optimal design of accelerated life test for exponential distribution
• Design for Optimal Prediction in Simple Linear Regression
• Optimal sample size allocation for multi-level stress testing with Weibull regression under Type-II censoring
• Optimal sample size allocation for tests with multiple levels of stress with extreme value regression
• Optimum Allocation in Linear Regression Theory
• Topics in optimal design

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