Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint

Publisher： MDPI

E-ISSN： 1099-4300|19|6|274-274

ISSN： 1099-4300

Source： Entropy, Vol.19, Iss.6, 2017-06, pp. : 274-274

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Objective Bayesian Entropy Inference for Two-Parameter Logistic Distribution Using Upper Record Values

By Seo Jung In Kim Yongku

Entropy, Vol. 19, Iss. 5, 2017-05 ,pp. : 208-208

MDPI

Access to resources Recommend Favorite

Minimum Entropy Active Fault Tolerant Control of the Non-Gaussian Stochastic Distribution System Subjected to Mean Constraint

By Jin Haokun Guan Yacun Yao Lina

Entropy, Vol. 19, Iss. 5, 2017-05 ,pp. : 218-218

MDPI

Access to resources Recommend Favorite

Spurious Memory in Non-Equilibrium Stochastic Models of Imitative Behavior

By Gontis Vygintas Kononovicius Aleksejus

Entropy, Vol. 19, Iss. 8, 2017-07 ,pp. : 387-387

MDPI

Access to resources Recommend Favorite

On Entropy Test for Conditionally Heteroscedastic Location-Scale Time Series Models

By Lee Sangyeol Kim Minjo

Entropy, Vol. 19, Iss. 8, 2017-07 ,pp. : 388-388

MDPI

Access to resources Recommend Favorite

Scaling Relations of Lognormal Type Growth Process with an Extremal Principle of Entropy

By Wu Zi-Niu Li Juan Bai Chen-Yuan

Entropy, Vol. 19, Iss. 2, 2017-01 ,pp. : 56-56

MDPI

Access to resources Recommend Favorite