Statistical inference for the non-conforming rate of FGM Copula-Based bivariate exponential lifetime

سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 185

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شناسه ملی سند علمی:

JR_KJMMRC-11-1_001

تاریخ نمایه سازی: 2 بهمن 1400

چکیده مقاله:

‎‎Lifetime performance index ‎is widely used as process capability index to evaluate the performance and potential of a process‎. ‎In manufacturing industries‎, ‎the lifetime of a product is considered to be conforming if it exceeds a given lower threshold value‎, ‎so‎ nonconforming products are those that fail to exceed this value. Nonconformities are ‎so ‎important‎ that affect the safe or effective use of the products. ‎This article deals with ‎the processes‎ that ‎the ‎products' ‎lifetime is related to a two-component system, ‎distributed ‎as Farlie-Gumbel-Morgenstern (FGM) copula-based bivariate ‎exponential‎ ‎and ‎presen‎ts‎‎ the ‎probability ‎of ‎non-conforming ‎products‎. Also, bootstrap upper confidence bounds are constructed and their performance are investigated in simulation study. In addition, Monte Carlo scheme is applied to do hypothesis testing on it. Finally, two example sets are presented to demonstrate the application of the proposed index.‎

نویسندگان

Zainab Abbasi Ganji

Khorasan Razavi Agricultural and Natural Resources Research and Education Center, AREEO, Mashhad, Iran

Bahram Sadeghpour Gildeh

Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

Mohammad Amini

Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

Afshin Babaei

Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran

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  • M. V. Ahmadi, M. Doostparast, J. Ahmadi, Statistical inference for ...
  • M. V. Ahmadi, J. Ahmadi. M. Abdi, Evaluating the lifetime ...
  • H. T. Chen, L. I. Tong, K. S. Chen, Assessing ...
  • N. Clark, M. Dabkowski, P. J. Driscoll, D. Kennedy, I. ...
  • F. M. Dekking, C. Kraaikamp, H. P. Lopuhaa, L. E. ...
  • B. Efron, Bootstrap methods: another look at the jacknife. The ...
  • B. Efron, Nonparametric standard errors and con dence intervals, The ...
  • B. Efron, The jacknife, the bootstrap and other resampling plans. ...
  • B. Efron, Bootstrap con dence intervals for a class of ...
  • B. Efron, R. Tibshirani, Bootstrap methods for standard errors, con ...
  • B. Efron, Better bootstrap con dence intervals, Journal of the ...
  • N. I. Fisher, P. Switzer, Chi-plots for assessing dependence, Biometrika. ...
  • N. I. Fisher, P. Switzer, Graphical assessment of dependence: Is ...
  • C. Genest, J. MacKay, The Joy of Copulas: Bivariate Distributions ...
  • C. Genest, L. P. Rivest, Statistical inference procedures for bivariate ...
  • C. Genest, J. C. Boies, Detecting dependence with Kendall plots, ...
  • C. Genest, J. F. Quessy, B. Remillard, Goodness-of- t procedures ...
  • C. Genest, B. Remillard, Validity of the parametric bootstrap for ...
  • C. Genest, A. C. Favre, Everything You Always Wanted to ...
  • S. S. Hashemi-Bosra, E. Salehi, The mean residual lifetime of ...
  • H. Joe, Multivariate Models and Dependence Concepts, Chapman & Hall ...
  • M. E. Johnson, Multivariate Statistical Simulation. Wiley, New York, ۱۹۸۷ ...
  • M. Khademi, V. Amirzadeh, Process control using assumed fuzzy test ...
  • J. E. Lawless, Statistical Models and Methods for Lifetime Data, ...
  • W. C. Lee, J. W. Wu, C. W. Hong, Assessing ...
  • E. L. Lehmann, G. Casella, Theory of Point Estimation. ۲nd ...
  • S. Maiti, A. Bhattacharya, M. Saha, On generalizing lifetime performance ...
  • D.C. Montgomery, Introduction To Statistical Quality Control, John Wiley & ...
  • R.B. Nelsen, An Introduction to Copulas, Springer-Verlag, ۱۹۹۹ ...
  • J. Orlo , J. Bloom, Bootstrap con dence intervals, Class ...
  • W. L. Pearn, M-H Shu, Manufacturing capability control for multiple ...
  • S. M. Ross, Introduction to probability and statistics for engineers ...
  • A.W. Sklar, Fonctions de repartition a n dimension et leurs ...
  • A. A-E.Soliman, E. A-S. Ahmed, A. H. Abd Ellah, A-W. ...
  • L. I. Tong, K. S. Chen, H. T. Chen, Statistical ...
  • W. Wang, M. T. Wells, Model selection and semiparametric inference ...
  • S. Wang, X. Zhang, L. Liu, Multiple stochastic correlations modeling ...
  • A. Wiboonpongse, J. Liu, S. Sriboonchitta, T. Denoeux, Modeling dependence ...
  • J. W. Wu, C. W. Hong, W. C. Lee, Computational ...
  • J. Yan, Multivariate Modeling with Copulas and Engineering Applications. In ...
  • L. Yang, X. J. Cai, M. Li, S. Hamori, Modeling ...
  • K. S. Zhang, J. G. Lin, P. R. Xu, A ...
  • نمایش کامل مراجع