Results 11 to 20 of about 6,276,816 (299)
Estimation of the Parameters and Reliability Function of a Generalized Life Testing Model [PDF]
The Egyptian Statistical Journal, 1996 This paper obtains a new estimates of the parameters of the generalized life testing model by using maximum likelihood, Bayesian and Lindley Bayes approximation procedures.
M. A. T. El-Shahat
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Austrian Journal of Statistics, 2015 This paper derives Bayes shrinkage estimator of Rayleigh parameter and its associated risk based on conjugate prior under the assumption of general entropy loss function for progressive type-II censored data. Risk function of maximum likelihood estimate,
Sanku Dey +2 more
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The Annals of Mathematical Statistics, 1967 Throughout this paper we are concerned with the problem of estimating a real parameter when the loss function is such that the Bayes estimate exists, is unique, and satisfies a simple Equation, (1.5). If the estimate is unbiased (in the general sense of Lehmann [3]) we show under weak conditions that it must satisfy another Equation, (1.14).
Bickel, Peter J., Blackwell, David
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On the Consistency of Bayes Estimates
The Annals of Statistics, 1986 The authors of this special invited paper give the following summary: ''We discuss frequency properties of Bayes rules, paying special attention to consistency. Some new and fairly natural counterexamples are given, involving nonparametric estimates of location.
Diaconis, Persi, Freedman, David
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Revstat Statistical Journal, 2016 In this paper, classical and Bayesian point estimations of the Topp–Leone distribution shape parameter are studied when the sample is progressive Type II censored. The maximum likelihood estimator (MLE) of the unknown parameter is proposed.
Husam Awni Bayoud
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Media Statistika, 2020 One distribution of rainfall data is a lognormal distribution with location parameters and scale parameters . This study aims to estimate the mean and variance of rainfall data in several selected cities and regencies in West Sumatra.
Ferra Yanuar +2 more
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Geosciences, 2023 Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased ...
Florimond De Smedt +2 more
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Interval Estimation Naïve Bayes [PDF]
, 2003 Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of conditional independence among features given the class.
Robles Forcada, Víctor +4 more
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Bayesian Shrinkage Estimation in a Class of Life Testing Distribution
Data Science Journal, 2010 In the present paper, a class of probability density functions is considered, and the properties of the Bayes estimator and the Bayes Shrinkage estimator of the parameters are studied.
Gyan Prakash, D C Singh
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Variational Bayes with synthetic likelihood [PDF]
Statistics and computing, 2016 Synthetic likelihood is an attractive approach to likelihood-free inference when an approximately Gaussian summary statistic for the data, informative for inference about the parameters, is available.
V. M. Ong +4 more
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