Bayesian estimation for the Kumaraswamy-inverse Rayleigh distribution based on progressive first failure censored samples
نویسندگان
چکیده
منابع مشابه
Bayesian Estimation of Generalized Exponential Distribution under Progressive First Failure Censored Sample
In this paper, we consider the maximum likelihood (ML) and Bayes estimation of the parameters of the generalized exponential distribution based on progressive first failure censored samples. We also consider the problem of predicting an independent future order statistics from the same distribution. However, since Bayes estimator do not exist in an explicit form for the parameters, Markov Chain...
متن کاملComparison of three Estimation Procedures for Weibull Distribution based on Progressive Type II Right Censored Data
In this paper, based on the progressive type II right censored data, we consider estimates of MLE and AMLE of scale and shape parameters of weibull distribution. Also a new type of parameter estimation, named inverse estimation, is introdued for both shape and scale parameters of weibull distribution which is used from order statistics properties in it. We use simulations and study the biases a...
متن کاملBayesian Inference and Prediction of Burr Type XII Distribution for Progressive First Failure Censored Sampling
This paper deals with Bayesian inference and prediction problems of the Burr type XII distribution based on progressive first failure censored data. We consider the Bayesian inference under a squared error loss function. We propose to apply Gibbs sampling procedure to draw Markov Chain Monte Carlo (MCMC) samples, and they have in turn, been used to compute the Bayes estimates with the help of i...
متن کاملClassic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data
Introduction In classical methods of statistics, the parameter of interest is estimated based on a random sample using natural estimators such as maximum likelihood or unbiased estimators (sample information). In practice, the researcher has a prior information about the parameter in the form of a point guess value. Information in the guess value is called as nonsample information. Thomp...
متن کاملPrediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family
In this paper, the problem of predicting times to failure of units censored in multiple stages of progressively hybrid censoring for the proportional hazards family is considered. We discuss different classical predictors. The best unbiased predictor ($BUP$), the maximum likelihood predictor ($MLP$) and conditional median predictor ($CMP$) are all derived. As an example, the obtained results ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Scientific World
سال: 2014
ISSN: 2307-9037
DOI: 10.14419/ijsw.v2i2.2564