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Approximate tolerance intervals for the discrete Poisson–Lindley distribution

Journal of Statistical Computation and Simulation, 2015
The Poisson–Lindley distribution is a compound discrete distribution that can be used as an alternative to other discrete distributions, like the negative binomial. This paper develops approximate one-sided and equal-tailed two-sided tolerance intervals for the Poisson–Lindley distribution.
M. Naghizadeh Qomi   +2 more
openaire   +1 more source

Bayes estimators for the parameters of truncated Campbell distribution using Lindley's approximation

Statistics, Optimization & Information Computing
In this research, the Campbell distribution (maximum value) was truncated by deleting a part of the distribution domain so that the distribution function maintains its probability properties, to obtain the truncated Campbell distribution (maximum value) (
N. Oleiwi   +2 more
semanticscholar   +1 more source

Estimation of stress–strength reliability based on censored data and its evaluation for coating processes

Quality Technology & Quantitative Management, 2022
In this paper, the classical and Bayesian estimation procedures for stress–strength reliability parameter (SSRP) have been considered based on two independent adaptive Type II progressive hybrid censored samples from inverted exponentiated Rayleigh ...
S. Asadi, H. Panahi
semanticscholar   +1 more source

The inverse Lindley distribution: a stress-strength reliability model with application to head and neck cancer data

, 2014
In this article, we proposed one parameter, inverse Lindley distribution, with its fundamental properties such as quantiles, mode, stochastic ordering, entropy, and stress–strength reliability.
V. Sharma   +3 more
semanticscholar   +1 more source

Reliability estimation in multicomponent stress-strength model using weighted exponential-Lindley distribution

Journal of Statistical Computation and Simulation
This research investigates the reliability estimation in multicomponent stress-strength model when both the stress and strengths are drawn from Weighted Exponential-Lindley distribution.
Sunita Sharma, Vinod Kumar
semanticscholar   +1 more source

BAYESIAN ESTIMATION OF TOPP-LEONE LINDLEY (TLL) DISTRIBUTION PARAMETERS UNDER DIFFERENT LOSS FUNCTIONS USING LINDLEY APPROXIMATION

In this study, we present the Bayesian estimates of the unknown parameters of the Topp-Leone Lindley distribution using the maximum likelihood and Bayesian methods. In this study, the Bayes theorem was adopted for obtaining the posterior distribution of the shape parameter and scale parameter of the Topp-Leone Lindley distribution assuming the Jeffreys’
Nzei C. Lawrence   +3 more
openaire   +1 more source

Approximate Estimation Methods for Exponential Rayleigh Distribution

Iraqi Journal of Science
This paper introduces approximate estimators for the scale parameters, reliability, and hazard rate functions of the exponential Rayleigh distribution using Modified Maximum Likelihood and Bayesian method.
S. A. AL-Sultany, L. K. Hussein
semanticscholar   +1 more source

Parameter estimation and reliability analysis of Burr XII distribution under generalized type-II censoring

Physica Scripta
A generalized type-II censoring scheme is proposed based on the traditional type-II censoring scheme. Maximum likelihood estimators of the parameters are developed and approximate confidence intervals are constructed for generalized type-II censored ...
Qinyi Long, Dong Jiang
semanticscholar   +1 more source

Leveraging Loss Functions to Bayesian Estimations of (X-G) distribution

Journal of the College of Basic Education
         This paper, focused on evaluate the performance of Bayesian estimation for estimating the scale parameter, reliability and hazard functions of X-Gamma (X-G) distribution.
Wasnaa J. Hmood(1)   +1 more
semanticscholar   +1 more source

Statistical inference and prediction of Burr XII distribution under modified progressive hybrid censoring

Journal of Statistical Computation and Simulation
Under modified progressive hybrid censoring, the statistical inference problems of the model parameters and reliability are studied when the failure time follows the Burr XII distribution.
Qinyi Long
semanticscholar   +1 more source

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