Results 71 to 80 of about 1,818,807 (197)
Modelling and Simulation in EngineeringMixture models serve a crucial function in life testing experiments, particularly when dealing with a heterogeneous population. In our current research study, we have developed a 2-component mixture model of the exponential distributions (2-CMMEDs) for ...
Zain Ullah +5 more
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Noninformative Quantum q-Priors
, 2005 We find, in an analysis involving four prior probabilities (p's), that the information-theoretic-based comparative noninformativity test devised by Clarke, and applied by Slater in a quantum setting, yields a ranking (p_{F_{q=1}} > p_{B} > p_{B_{q=1}trunc} >p_{F}) fully consistent with Srednicki's recently-stated criterion for priors of ...
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Noninformative Priors for the Common Intraclass Correlation Coefficient [PDF]
Communications for Statistical Applications and Methods, 2011 In this paper, we develop the noninformative priors for the common intraclass correlation coefficient when independent samples drawn from multivariate normal populations. We derive the first and second order matching priors. We reveal that the second order matching prior dose not match alternative coverage probabilities up to the second order and is ...
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Prior distributions for variance parameters in hierarchical models [PDF]
, 2004 Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider
Gelman, Andrew
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingCloud coverage significantly degrades the quality and usability of remote sensing imagery, while also leading to unnecessary bandwidth consumption and power expenditure in satellite payloads.
Chun-Fu Chen +3 more
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On the implementation of local probability matching priors for interest parameters [PDF]
, 2005 Probability matching priors are priors for which the posterior probabilities of certain specified sets are exactly or approximately equal to their coverage probabilities.
Sweeting, TJ, Trevor J. Sweeting
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A representation theorem and applications to measure selection and noninformative priors
International Journal of Approximate Reasoning, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Noninformative Bayesian Priors. Interpretation And Problems With Construction And Applications.
, 1998 Introduction Central in Bayesian statistics is Bayes' theorem, which can be written as follows: ß(`jx) / f(xj`)ß(`): Given the likelihood function f(xj`) and the prior ß(`), it is easy to calculate the posterior distribution of `, ß(`jx), which ...
Anne Randi Syversveen
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Modeling growth curve parameters in Peruvian llamas using a Bayesian approach
Veterinary and Animal ScienceThe objective of this study was to fit four nonlinear models (Brody, von Bertalanffy, Gompertz and Logistic) to realizations of llama weight, using frequentist and Bayesian approaches.
Ali William Canaza-Cayo +7 more
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Jixie qiangduThe correlation between the parameters of the Gamma degradation process was described by the Jeffreys uninformative prior distribution. And the Bayesian model was used to obtain the full conditional distribution of each parameter.
YIN ZeKai, GUO Yu
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