Admissible and minimax estimation of the parameters of the selected normal population in two-stage adaptive designs under reflected normal loss function

Estimation of the Multivariate Normal Mean under the Extended Reflected Normal Loss Function

Admissibility of Linear Predictors of Finite Population Parameters under Reflected Normal Loss Function

One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population. In this paper the admissibility of linear predictors of an arbitrary linear function of characteristic values in a finite population under reflected normal loss function is considered. Under the super-population model, we obtain the condition...

estimation of the multivariate normal mean under the extended reflected normal loss function

comparison of the amount of debris extruded apically in two rotary techniques: flexmaster and m2

چکیده ندارد.

ESTIMATION OF SCALE PARAMETER UNDER A REFLECTED GAMMA LOSS FUNCTION

In this paper, the estimation of a scale parameter t under a new and bounded loss function, based on a reflection of the gamma density function, is discussed. The best scale-invariant estimator of tis obtained and the admissibility of all linear functions of the sufficient statistic, for estimating t in the absence of a nuisance parameter, is investigated