Abstract
Bayesian estimation methods for Rayleigh distribution parameter affect accurate information. However, in real-world conditions, empirical performance results cannot always be recorded or measured accurately. Thus, we'd like to generalize the estimated methods for real numbers to fuzzy numbers. during this paper, Bayesian, E-Bayesian and Hierarchical Bayesian (H-Bayesian) methods are discussed for Rayleigh distribution parameter on the idea of a Type-II censoring schemes under the squared error loss function. Data is taken into account as imprecise and within the form fuzzy numbers. Then, the efficiency of estimation methods is compared via Monte Carlo simulation. Finally, a true data set for the needs described is analyzed.
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References
Akbari MG, Rezaei A (2007) An uniformly minimum variance unbiased point estimator using fuzzy observations. Austrian J Statistics 36(4):307–317
Arifujjaman Md, Iqbal MT, Quaicoe JE (2008) Energy capture by a small wind-energy conversion system. Appl Energy 85:41–51
Aslam M (2007) Double acceptance sampling based on truncated life tests in Rayleigh distribution. Eur J Sci Res 17:605–611
Balakrishnan N, Cohen AC (1991) Order statistics and inference: estimation methods. Academic Press, San Diego
Berger JO (1985) Statistical decision theory and Bayesian analysis, 2nd edn. Springer-Verlag, New York
Brillinger DR (1982) Seismic risk assessment: some statistical aspects. Earthq Predict 1:183–195
Celik AN (2004) A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey, Renew. Energy 29:593–604
Cohen AC (1963) Progressively censored samples in the life testing. Technometrics 5:327–339
Coppi R, Gil MA, Kiers HAL (2006) The fuzzy approach to statistical analysis. Comput Stat Data Anal 51:1–14
Dey S, Das MK (2007) A note on prediction interval for a Rayleigh distribution: Bayesian approach. Am J Math Manage Sci 27:43–48
Fernández AJ (2000) Bayesian inference from type II doubly censored Rayleigh data. Stat Probab Lett 48:393–399
Gross AJ, Clark VA (1975) Survivals distributions: reliability applications in the biomedical sciences. Wiley, New York
Han M (1997) The structure of hierarchical prior distribution and its applications. Chin Operations Res Manag Sci 63:31–40
Han M (2009) E-Bayesian estimation and hierarchical Bayesian estimation of failure rate. Appl Math Model 33(4):1915–1922
Han M (2011) E-Bayesian estimation of the reliability derived from Binomial distribution. Appl Math Model 35:2419–2424
Han M (2017) The E-Bayesian and hierarchical Bayesian estimations for the system reliability parameter. Commun Statistics-Theory Methods 46(4):1606–1620
Howlader HA (1985) HPD prediction intervals for Rayleigh distribution. IEEE Trans Reliab 34:121–123
Huang HZ, Zuo MJ, Sun ZQ (2006) Bayesian reliability analysis for fuzzy lifetime data. Fuzzy Sets Syst 157(12):1674–1686
Iliopoulos G, Balakrishnan N (2011) Exact likelihood inference for laplace distribution based on type-II censored samples. J Statistical Plan Inference 141(3):1224–1239
Jaheen ZF, Okasha HM (2011) E-Bayesian estimation for the Burr type XII model based on type-2 censoring. Appl Math Model 35:4730–4737
Jowder FAL (2006) Weibull and Rayleigh distribution functions of wind speeds in Kingdom of Bahrain. Wind Eng 30:439–446
Kundu D, Raqab MZ (2012) Bayesian inference and prediction of order statistics for a Type-II censored Weibull distribution. J Statistical Plan Inference 142(1):41–47
Lalitha S, Mishra A (1996) Modified maximum likelihood estimation for Rayleigh distribution. Comm Stat Theory Methods 25:389–401
Liang T (2007) Empirical Bayes testing for mean life time of Rayleigh distribution. J Appl Math Comput 25:1–15
Lindley DV (1980) Approximate Bayesian methods. Trabajos De Estadistica De Investig Operativa 31(1):223–237
Lindley DV, Smith A (1972) Bayes estimation for the linear model. J R Statistical Soc-Ser B 34:1–41
Marshall JS, Hitschfeld W (1953) Interpretation of the fluctuating echo from randomly distributed scatterers, Part I. Can J Phys 31:962–994
Ng HKT, Kundu D, Balakrishnan N (2006) Point and interval estimation for the two parameter Birnbaum-Saunders distribution based on type-II censored samples. Comput Stat Data Anal 50(11):3222–3242
Pak A, Parham GH, Saraj M (2013) Inference for the Weibull distribution based on fuzzy data. Revista Colombiana De Estadística 36(2):339–358
Polovko AM (1968) Fundamentals of reliability theory. Academic Press, New York
Rayleigh J (1880) On the resultant of a large number of vibrations of the same pitch and of arbitrary phase. Philos Mag 10:73–78
Singh U, Kumar A (2007) Bayesian estimation of the exponential parameter under a multiply type II censoring scheme. Austrian J Statistics 36(3):227–238
Sinha SK, Howlader HA (1983) Credible and HPD intervals of the parameter and reliability of Rayleigh distribution, IEEE Trans. Reliab 32:217–220
Tayfuna MA, Fedeleb F (2007) Wave-height distributions and nonlinear effects. Ocean EnG 34:1631–1649
Tuthill TA, Sperry RH, Parker KJ (1988) Deviation from Rayleigh statistics in ultrasonic speckle. Ultrason Imaging 10:81–90
Von Alven WH (1964) Reliability engineering by ARINC. Prentice-Hall, Englewood Cliffs
Wang J, Li D, Chen D (2012) E-Bayesian estimation and hierarchical Bayesian estimation of the system reliability parameter. Syst Eng Procedia 3:282–289
Yousefzadeh F (2017) E-Bayesian and hierarchical Bayesian estimations for the system reliability parameter based on asymmetric loss function. Commun Statistics-Theory Methods 46(1):1–8
Zadeh LA (1968) Probability measures of fuzzy events. J Math Anal Appl 10:421–427
Zagzebski JA, Chen JF, Dong F, Wilson T (1999) Intervening attenuation affects first-order statistical properties of ultrasound echo signals. IEEE Trans Ultrason Ferroelectr Freq Control 46:35–40
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Heidari, K.F., Deiri, E. & Jamkhaneh, E.B. E-Bayesian and Hierarchical Bayesian Estimation of Rayleigh Distribution Parameter with Type-II Censoring from Imprecise Data. J Indian Soc Probab Stat 23, 63–76 (2022). https://doi.org/10.1007/s41096-021-00112-3
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DOI: https://doi.org/10.1007/s41096-021-00112-3