We study the theoretical underpinning of a robust empirical risk minimization (RERM)
scheme which has been finding numerous successful applications across various data …

In this paper, we consider the generalized Bayes estimator of mean vector parameter for
multivariate normal distribution with unknown mean vector and covariance matrix under …

In dam concrete construction process, it not only has quality loss arising from quality
fluctuation, but also gains quality compensation effect due to the mutual cooperation and …

The matrix-variate normal distribution is a probability distribution that is a generalization of
the multivariate normal distribution to matrix-valued random variables. In this paper, we …

ABSTRACT Let π1,…, π k be k (⩾ 2) independent populations, where π i denotes the
uniform distribution over the interval (0, θ i) and θ i> 0 (i= 1,…, k) is an unknown scale …

This paper deals with the problem of estimating scale parameter of the selected uniform
population when sample sizes are unequal. The loss has been measured by the …

Let Π1 and Π2 denote two gamma populations with common known shape parameter α> 0
and unknown scale parameters θ1 and θ2, re-spectively. Let X1 and X2 be two independent …

ABSTRACT Wang, B.; Zhou, HG; Li, ZY; Fan, TY, and Nie, XT, 2020. Quality gain-loss
function and its empirical analysis in dam concrete construction. In: Guido Aldana, PA and …

In clinical research, one of the key problems is to estimate the effect of the best treatment
among the given k treatments in two-stage adaptive design. Suppose the effects of two …

The estimation of the slope parameter of a simple linear regression model in the presence of
nonsample prior information under the reflected normal loss function is considered. Usually …