A Genetic-Based Iterative Quantile Regression Algorithm for Analyzing Fatigue Curves-Reference-Cited by-同舟云学术

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A Genetic-Based Iterative Quantile Regression Algorithm for Analyzing Fatigue Curves

Published:2012-01-10 Issue:8 Volume:28 Page:897-909
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Park Jong In¹,Kim Norman²,Bae Suk Joo³

Affiliation:

1. Reliability Technology Center; Korea Testing Laboratory; Ansan; Korea

2. RUTCOR (Rutgers Center for Operations Research), Rutgers; State University of New Jersey; Piscataway; NJ; USA

3. Department of Industrial Engineering; Hanyang University; Seoul; Korea

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference36 articles.

1. Statistical Analysis of Fatigue Data

2. Fitting of fatigue curves with nonconstant standard deviation to data with runouts;Nelson;Journal of Testing and Evaluation,1984

3. Shen CL Statistical analysis of fatigue data 1994

4. Modeling lifetime data with application to fatigue models;Castillo;Journal of the American Statistical Association,1995

5. Estimating fatigue curves with the random fatigue-limit model;Pascual;Technometrics,1999a

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