Results 11 to 20 of about 946,554 (172)
This article discusses the problem of estimation with step stress partially accelerated life tests using Type-II progressively censored samples. The lifetime of items under use condition follows the two-parameters inverted Kumaraswamy distribution.
Manal M. Yousef +2 more
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Applicability of modified weibull extension distribution in modeling censored medical datasets: a bayesian perspective [PDF]
There are some contributions analyzing the censored medical datasets using modifications of the conventional lifetime distribution; however most of the said contributions did not considered the modification of the Weibull distribution (WD).
Navid Feroze +7 more
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In this paper, we have obtained the Bayes Estimator of scale and shape parameter of Generalized-Exponential using Lindley’s approximation (L-approximation) under GENERAL ENTROPY loss functions. The proposed estimators have been compared with the corresponding MLE for their risks based on simulated samples from the Generalized-Exponential distribution.
Rahul Singh +3 more
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Lindley Approximation Technique for the Parameters of Lomax Distribution [PDF]
The present study is concerned with the estimation of shape and scale parameter of Lomax distribution using Bayesian approximation techniques (Lindley’s Approximation). Different priors viz gamma, exponential and Levy priors are used to obtain the Bayes estimates of parameters of Lomax distributions under Lindley approximation technique.
Afaq Ahmad, Kawsar Fatima, S.P. Ahmad
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Optimizing ridge regression through Bayesian estimators: a Lindley's approximation study
In linear regression modelling, it is crucial for the explanatory variables to be uncorrelated with each other; however, this assumption is often violated. When the explanatory variables are highly multicollinear, the ordinary least squares (OLS) estimator can yield estimates with larger variances.
Qasim Ramzan +4 more
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Lindley’s Approximation in Estimating Two-Parameters Inverted Weighted Exponential Distribution
The Inverted Weighted Exponential distribution can be used to describe and model real life phenomena with unimodal or decreasing failure rates. The main aim of this study is to use Bayesian approach to estimate the two parameters of the distribution.
FATIN SYAZWANI NAZRI +1 more
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Bayesian estimation of the inverse Exponential Power distribution for COVID-19 case fatality analysis under SDG 3 [PDF]
In this study, the maximum likelihood estimators (MLEs) and Bayes estimators for the shape and scale parameters of Inverse Exponential Power (IEP) distribution are derived.
Neriman Akdam +4 more
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This work examines Bayesian estimations of the reliability function and the parameters of the Odd Kappa–Exponential distribution using different symmetric and asymmetric loss functions.
Ali A. Al-Shomrani
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This study explores accelerated life tests to examine the durability of highly reliable products. These tests involve applying higher stress levels, such as increased temperature, voltage, or pressure, that cause early failures.
Hanan Haj Ahmad, Mahmoud M. El-Awady
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Estimating the Parameters of Burr Type XII Distribution with Fuzzy Observations
In this article, the classical as well as the Bayesian estimation problems of two-parameter Burr type XII distribution based on fuzzy data are considered.
Abbas Abdul Hussein , Riyadh Al-Mosawi
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