Two sample Bayesian prediction intervals for order statistics based on the inverse exponential-type distributions using right censored sample

Bayesian Two-Sample Prediction with Progressively Type-II Censored Data for Some Lifetime Models

Prediction on the basis of censored data is very important topic in many fields including medical and engineering sciences. In this paper, based on progressive Type-II right censoring scheme, we will discuss Bayesian two-sample prediction. A general form for lifetime model including some well known and useful models such asWeibull and Pareto is considered for obtaining prediction bounds ...

One- and Two-Sample Bayesian Prediction Intervals Based on Type-I Hybrid Censored Data

One- and two-sample Bayesian prediction intervals based on progressively Type-II censored data

In this article, oneand two-sampleBayesian prediction intervals based on progressively Type-II censored data are derived. For the illustration of the developed results, the exponential, Pareto, Weibull and Burr Type-XII models are used as examples. Some of the previous results in the literature such as Dunsmore (Technometrics 16:455–460, 1974), Nigm andHamdy (Commun Stat TheoryMethods 16:1761–1...

Bayesian Prediction Intervals for Future Order Statistics from the Generalized Exponential Distribution

Let X1, X2, ..., Xr be the first r order statistics from a sample of size n from the generalized exponential distribution with shape parameter θ. In this paper, we consider a Bayesian approach to predicting future order statistics based on the observed ordered data. The predictive densities are obtained and used to determine prediction intervals for unobserved order statistics for one-sample ...

Optimal Non-Parametric Prediction Intervals for Order Statistics with Random Sample Size

‎ In many experiments, such as biology and quality control problems, sample size cannot always be considered as a constant value. Therefore, the problem of predicting future data when the sample size is an integer-valued random variable can be an important issue. This paper describes the prediction problem of future order statistics based on upper and lower records. Two different cases for the ...