Effective risk exposure descriptions can be made using continuous distributions. To illustrate the level of exposure to a certain danger, it is better to use a single number, or at the very least, a small set of numbers.
Vahid Ranjbar +3 more
doaj +1 more source
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance. [PDF]
Göktaş A, Akkuş Ö.
europepmc +1 more source
A better numerical approach for finding the steady-state waiting time and the average queue length of a system for the arithmetic GI/G/1 queue [PDF]
In this research, an efficient numerical method is developed to determine the steady-state waiting time distribution of a GI/G/1 queue by solving the discrete-time version of Lindley’s equation, when the queue is bounded on a finite interval.
Bhattacharja, Bonane
core
A decision-theoretic approach to Bayesian clinical trial design and evaluation of robustness to prior-data conflict. [PDF]
Calderazzo S +2 more
europepmc +1 more source
Bayesian accelerated life tests for the Weibull distribution under non-informative priors [PDF]
In a competitive world where products are designed to last for long periods of time, obtaining time-to-failure data is both difficult and costly. Hence for products with high reliability, accelerated life testing is required to obtain relevant life-data ...
Mostert, Philip
core +1 more source
Inference for Inverse Power Lomax Distribution with Progressive First-Failure Censoring. [PDF]
Shi X, Shi Y.
europepmc +1 more source
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis. [PDF]
Robnik J, Seljak U.
europepmc +1 more source
Continuous Model Averaging for Benchmark Dose Analysis: Averaging Over Distributional Forms. [PDF]
Wheeler MW +4 more
europepmc +1 more source
Bayesian inference of Weibull distribution for right and interval censored data [PDF]
The main purpose of this work is to draw comparisons between the classical maximum likelihood and the Bayesian estimators on the parameters, the survival function and hazard rate of the Weibull distribution when the data under consideration are right ...
Guure, Chris Bambey
core
Bayesian survival and hazard estimates for Weibull regression with censored data using modified Jeffreys prior [PDF]
In this study, firstly, consideration is given to the traditional maximum likelihood estimator and the Bayesian estimator by employing Jeffreys prior and Extension of Jeffreys prior information on the Weibull distribution with a given shape under ...
Ahmed, Al Omari Mohammed
core

