Inference for Inverse Power Lomax Distribution with Progressive First-Failure Censoring. [PDF]
Entropy (Basel), 2021 Shi X, Shi Y.
europepmc +1 more source
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis. [PDF]
Entropy (Basel), 2022 Robnik J, Seljak U.
europepmc +1 more source
Continuous Model Averaging for Benchmark Dose Analysis: Averaging Over Distributional Forms. [PDF]
Environmetrics, 2022 Wheeler MW +4 more
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The Dependence of Routine Bayesian Model Selection Methods on Irrelevant Alternatives
, 2012 Bayesian methods - either based on Bayes Factors or BIC - are now widely used for model selection. One property that might reasonably be demanded of any model selection method is that if a model ${M}_{1}$ is preferred to a model ${M}_{0}$, when these two
Smith, Jim Q., Zwiernik, Piotr
core
On the mass COVID-19 vaccination scheduling problem. [PDF]
Comput Oper Res, 2022 Zhang C, Li Y, Cao J, Wen X.
europepmc +1 more source
Estimation of the stress-strength reliability for the inverse Weibull distribution under adaptive type-II progressive hybrid censoring. [PDF]
PLoS One, 2022 Alslman M, Helu A.
europepmc +1 more source
Generalizing Information to the Evolution of Rational Belief. [PDF]
Entropy (Basel), 2020 Duersch JA, Catanach TA.
europepmc +1 more source
Optimal experiment design for identification of grey-box models [PDF]
, 1994 Holst, Jan +3 more
core +1 more source
Bayesian Estimation of Multicomponent Stress-Strength Model Using Progressively Censored Data from the Inverse Rayleigh Distribution. [PDF]
Entropy (Basel)Yılmaz A.
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The estimation of the Burr-XII parameters with middle-censored data. [PDF]
Springerplus, 2015 Abuzaid AH.
europepmc +1 more source