Results 11 to 20 of about 136,484 (249)
Maximum Product Spacings Estimator for Fuzzy Data Using Inverse Lindley Distribution
The article addresses the problem of parameter estimation of the inverse Lindley distribution when the observations are fuzzy. The estimation of the unknown model parameter was performed using both classical and Bayesian methods.
Ankita Chaturvedi +2 more
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Bayesian Estimation of the Size of a Population [PDF]
We consider the following problem: estimate the size of a population marked with serial numbers after only a sample of the serial numbers has been observed.
Held, Leonhard, Höhle, Michael
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Recently, the generalized half-normal distribution with decreasing, increasing, and bathtub hazard function shapes was proposed, making it a more applicable, reliable, and flexible lifespan model.
Ahmed Elshahhat +2 more
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Studies on properties and estimation problems for modified extension of exponential distribution [PDF]
The present paper considers modified extension of the exponential distribution with three parameters. We study the main properties of this new distribution, with special emphasis on its median, mode and moments function and some characteristics related ...
El-Damcese, M. A., Ramadan, Dina. A.
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The statistical inference concerning the difference between two independent binominal proportions has often been discussed in medical and statistical literature. This discussion is far more often based on the frequency theory of statistical inference than on the Bayesian theory.
Youhei Kawasaki, Etsuo Miyaoka
openaire +2 more sources
Simultaneous probability statements for Bayesian P-splines [PDF]
P-splines are a popular approach for fitting nonlinear effects of continuous covariates in semiparametric regression models. Recently, a Bayesian version for P-splines has been developed on the basis of Markov chain Monte Carlo simulation techniques for
Brezger, Andreas, Lang, S.
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Left-truncated and right-censored data are widely used in lifetime experiments, biomedicine, labor economics, and actuarial science. This article discusses how to resolve the problems of statistical inferences on the unknown parameters of the ...
Xifan Song, Ziyu Xiong, Wenhao Gui
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With the rapid development of statistics, information entropy is proposed as an important indicator used to quantify information uncertainty. In this paper, maximum likelihood and Bayesian methods are used to obtain the estimators of the entropy for a ...
Xinjing Wang, Wenhao Gui
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Small area estimation of general parameters with application to poverty indicators: A hierarchical Bayes approach [PDF]
Poverty maps are used to aid important political decisions such as allocation of development funds by governments and international organizations. Those decisions should be based on the most accurate poverty figures.
Molina, Isabel +2 more
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Bayesian Analysis of Unit Log-Logistic Distribution Using Non-Informative Priors
The unit log-logistic distribution is a suitable choice for modeling data enclosed within the unit interval. In this paper, estimating the parameters of the unit-log-logistic distribution is performed through a Bayesian approach with non-informative ...
Mohammed K. Shakhatreh +1 more
doaj +1 more source

