Journal of Multivariate Analysis, 124, 451-464. doi:10.1016/j.jmva.2013.11.014.Ding, P. (2014). Bayesian robust inference of sample selection using selection-models. Jour- nal of Multivariate Analysis, 124, 451-464.Ding, P. Bayesian robust inference of sample selection using selection t-...
Characterize Posterior Distribution: When selected, the Bayesian inference is made from a perspective that is approached by characterizing posterior distributions. You can investigate the marginal posterior distribution of the parameter(s) of interest by integrating out the other nuisance parameters, and fu...
The Bayesian One Sample Inference: Binomial procedure provides options for executing Bayesian one-sample inference on Binomial distribution. The parameter of interest is π, which denotes the probability of success in a fixed number of trials that may lead to either success or failure. Note that ...
In this paper the estimation of the mean and standard deviation is made from a Bayesian perspective by using a Markov Chain Monte Carlo (MCMC) algorithm to simulate samples from the intractable joint posterior distribution of the mean and standard deviation. The proposed methodology is applied to ...
Bayesian inference for Rayleigh distribution under hybrid censoring In this paper, and based on a hybrid censored sample from a Rayleigh distribution, Bayes estimators and highest posterior density credible intervals are ob... A Asgharzadeh,M Azizpour - 《International Journal of System Assurance Engin...
Large sample Bayesian inference on the parameters of the proportional hazard models This paper considers large sample Bayesian analysis of the proportional hazards model when interest is in inference on the parameters and estimation of the... D Faraggi,R Simon - 《Statistics in Medicine》 被引量:...
Bayesian inference can be implemented with such a model, ideally with the most precise prior knowledge that can be ascertained. However, as a consequence of the non-identifiability, inference cannot be made arbitrarily accurate by choosing the sample size to be sufficiently large. In turn, this ...
With the family of conjugate inverse gamma priors, this Bayesian approach can be formulated in the frequentist paradigm, describing the prior as being equivalent to additional observations. 展开 关键词: Small-sample inference about variance and its transformations, Artículo ...
Bayesian Inference in Statistical Analysis R. W. Carter Finite Groups of Lie Type: Conjugacy Classes and Complex Characters R. W. Carter Simple Groups of Lie Type William G. Cochran & Gertrude M. Cox Experimental Designs, Second Edition Richard Courant Differential and Integral Calculus, Volume I...
Bayesian Approach in Assessing the Lifetime Performance Index of Exponential Lifetimes Distribution with an Adaptive Hybrid Type-II Progressive Censoring Sample... N Sayed-Ahmed - 《International Journal of Applied Engineering Research》 被引量: 0发表: 2018年 LIFETIME RELIABILITY: TOWARD AN ARCHITECTURAL...