Estimating the inefficiency of machinery and its operators using hierarchical Bayesian models of their equipment by building a hierarchical
Bayesian model to model the fuel consumption of each operation.
Bayesian multidimensional-matrix polynomial empirical regressionThe problem of parameter
estimation for the polynomial in the input variables regression function
Binomial probability estimates with restrictions on their d-risks guarantee solutions.
Estimates with the uniformly minimal d-risk and the
Bayesian estimate are constructed
Estimation of mean value of a normal distribution with constraints on the relative error and d-risk the
estimators with uniformly minimal d-risk and
Bayesian are applied. A sequential guarantee
estimation On asymptotic expansion of posterior distribution and not from the value of the maximum likelihood
estimator, as it has been done before. This setting is more
The integrals and integral transformations connected with the joint vector Gaussian distribution multidimensional-matrix Gaussian distributions are given. Using these results, the
Bayesian estimations On asymptotic expansion of posterior distribution and not from the value of the maximum likelihood
estimator, as it has been done before. This setting is more
The integrals and integral transformations connected with the joint vector Gaussian distribution in terms of the joint vector Gaussian probability density function. As an example the
Bayesian estimations