Inference for multicomponent stress-strength reliability based on generalized Lindley distribution [PDF]
Scientific ReportsThis paper explores the classical and Bayesian estimation of multicomponent stress strength reliability when both the stress and strength variables follow the generalized Lindley distribution. The maximum likelihood (ML) and Bayesian methods are utilized
Fatma Gül Akgül
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Data Science Journal, 2008 In this paper, we have obtained the Bayes Estimator of Generalized-Exponential scale and shape parameter using Lindley's approximation (L-approximation) under asymmetric loss functions.
Rahul Singh +3 more
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Reliability inference for multi-component stress-strength systems with heterogeneous Lomax-distributed components under progressive censoring [PDF]
Scientific ReportsIn this paper, the m-component stress-strength parameter is considered under progressive first failure (PFF) censoring scheme, assuming the stress and strength variables follow the Lomax distribution.
Akram Kohansal +2 more
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Estimating [Formula: see text] distribution parameters under Type II progressive censoring using particle swarm optimization. [PDF]
PLoS ONEIn this article, the effect of the parameters in the properties of a well-known distribution called q-extended extreme value with linear normalization is discussed.
Rasha Abd El-Wahab Attwa +2 more
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Point estimation and related classification problems for several Lindley populations with application using COVID-19 data. [PDF]
J Appl Stat, 2023 The problems of point estimation and classification under the assumption that the training data follow a Lindley distribution are considered. Bayes estimators are derived for the parameter of the Lindley distribution applying the Markov chain Monte Carlo
Bal D, Tripathy MR, Kumar S.
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Inference on P(X < Y) in Bivariate Lomax model based on progressive type II censoring. [PDF]
PLoS ONE, 2022 This article considers the estimation of the stress-strength reliability parameter, θ = P(X < Y), when both the stress (X) and the strength (Y) are dependent random variables from a Bivariate Lomax distribution based on a progressive type II censored ...
Amal Helu, Hani Samawi
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Comparison of Approximation Methods for the Estimation of Distributions in the Analysis of the G/G/1 Queue [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 The analysis of Weibull and Pareto distribution functions in the approximation of the density of a sum of damping functions, PMRQ approximation and approximation of service distribution in the peak mode of the flow.
O. Karaulova +3 more
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Bayesian Estimation of Student-t GARCH Model Using Lindley’s Approximation
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2019 The dependency of conditional second moments of financial time series is modelled by Generalized Autoregressive conditionally heteroscedastic (GARCH) processes. The maximum likelihood estimation (MLE) procedure is most commonly used for estimating the unknown parameters of a GARCH model.
Arı, Yakup, Papadopoulos, Alex
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Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data. [PDF]
J Appl Stat, 2023 In this paper, the inference of multicomponent stress-strength reliability has been derived using progressively censored samples from Topp-Leone distribution.
Saini S, Tomer S, Garg R.
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Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme [PDF]
Entropy, 2021 Entropy measures the uncertainty associated with a random variable. It has important applications in cybernetics, probability theory, astrophysics, life sciences and other fields. Recently, many authors focused on the estimation of entropy with different
Xiaolin Shi, Yimin Shi, Kuang Zhou
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