Results 111 to 120 of about 143 (127)
Structural and parameter uncertainty in Bayesian cost-effectiveness models. [PDF]
Jackson CH, Sharples LD, Thompson SG.
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Innovative Bayesian and parsimony phylogeny of dung beetles (coleoptera, scarabaeidae, scarabaeinae) enhanced by ontology-based partitioning of morphological characters. [PDF]
Tarasov S, Génier F.
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Extensive hypothesis testing for estimation of crash frequency models. [PDF]
Ahern Z, Corry P, Rabbani W, Paz A.
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Bayes Estimators of Exponentiated Inverse Rayleigh Distribution using Lindleys Approximation
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In this paper, we have discussed the estimation procedure for two parameter Lomax distribution under Type-II hybrid censoring scheme. The maximum likelihood estimation (MLE) and Bayes estimation for the parameters and reliability characteristics have been considered. The Lindley's approximation technique has been used to obtain the Bayes estimates. The
Abhimanyu Singh Yadav +2 more
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Bayesian estimation on interval censored Lindley distribution using Lindley’s approximation
International Journal of System Assurance Engineering and Management, 2016Interval censored data commonly arise in engineering and biomedical sciences. The present study deals with Bayesian estimation of interval censored lifetime data while it is assumed that lifetimes follow Lindley distribution. Assuming Jeffrey’s and gamma prior distributions, Bayes estimator of the Lindley parameter has been constructed under symmetric,
Vikas Kumar Sharma +3 more
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Approximate tolerance intervals for the discrete Poisson–Lindley distribution
Journal of Statistical Computation and Simulation, 2015The 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
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Communications in Statistics - Simulation and Computation, 2008
In this article, we obtained Bayes estimators of parameters of Inverse Gaussian distributions under asymmetric loss function using Lindley's Approximation (L-Approximation). The proposed estimators have been compared with the corresponding estimators obtained under symmetric loss function and MLE for their risks.
P. K. Singh +2 more
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In this article, we obtained Bayes estimators of parameters of Inverse Gaussian distributions under asymmetric loss function using Lindley's Approximation (L-Approximation). The proposed estimators have been compared with the corresponding estimators obtained under symmetric loss function and MLE for their risks.
P. K. Singh +2 more
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