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Author de la Cruz, R.; Salinas, H.S.; Meza, C. doi  openurl
  Title Reliability Estimation for Stress-Strength Model Based on Unit-Half-Normal Distribution Type
  Year 2022 Publication Symmetry-Basel Abbreviated Journal Symmetry  
  Volume 14 Issue 4 Pages 837  
  Keywords bootstrap confidence intervals; bootstrap methods; entropy; exact and asymptotic confidence interval; mean residual life; simulation studies; strength-stress model; unit-half-normal distribution  
  Abstract Many lifetime distribution models have successfully served as population models for risk analysis and reliability mechanisms. We propose a novel estimation procedure of stress-strength reliability in the case of two independent unit-half-normal distributions can fit asymmetrical data with either positive or negative skew, with different shape parameters. We obtain the maximum likelihood estimator of the reliability, its asymptotic distribution, and exact and asymptotic confidence intervals. In addition, confidence intervals of model parameters are constructed by using bootstrap techniques. We study the performance of the estimators based on Monte Carlo simulations, the mean squared error, average bias and length, and coverage probabilities. Finally, we apply the proposed reliability model in data analysis of burr measurements on the iron sheets.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2073-8994 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000785126300001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1570  
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