Bayesian inference is one of the most important issues under the model selection
procedures in statistics. This paper performed a Bayesian analysis of posteriors using a well …

In this paper we consider the problems of estimation and prediction when observed data
from a lognormal distribution are based on lower record values and lower record values with …

The Bayesian approach is a suitable alternative in constructing appropriate models for
observed record values because the number of these values is small. This paper provides …

In this paper, an extension of record models, well known as k-records, is considered.
Bayesian estimation as well as prediction based on k-records are presented when the …

This paper focuses on the Bayesian technique to estimate the parameters of the Weibull
distribution. At this location, we use both informative and non-informative priors. We …

In this paper, we propose to make Bayesian inferences for the parameters of the Lomax
distribution using non-informative priors, namely the (dependent and independent) Jeffreys …

In this paper, the Bayes estimators of the unknown parameters of the Lomax distribution
under the assumptions of gamma priors on both the shape and scale parameters are …

Based on record data, the estimation and prediction problems for normal distribution have
been investigated by several authors in the frequentist set up. However, these problems …

Let (Xn: n≥ 1) be a sequence of random observations. Let σn (·)= P (Xn+ 1∈·| X1,..., Xn) be
the n-th predictive distribution and σ0 (·)= P (X1∈·) the marginal distribution of X1. To make …

This article is devoted to the Bayesian estimation of the discrete Weibull distribution
parameters. Bayesian procedure is performed with three prior distributions, namely Uniform …