Analyzing the mixture proportion in a finite mixture model, we consider

the method of evidentional analysis to distinguish two measures of

support data provided by record values and inter-record times in ...

Science looks to statistics for an objective measure of the

strength of evidence in a given body of observations. In this

paper, we shall use a criterion defined as a combination of

probabilities of ...

Often, in the essence of practical situations, some distribution functions

come up with a finite mixture model for multinomial observations. To do

inference for the mixture proportion and the parameters of a ...

analyzing the mixture proportion in a finite mixture model, we consider the method of evidentioal analysis to distinguish two measures of support data provided by record values and inter-record times in favor of a hypothesis ...

In the linear regression model y=Xb+e, we assume given positive definite scale matrix

S, the error vector is distributed as multivariate normal and S

has inverted Wishart distribution. Under an orthogonal ...

در این مقاله با فرض این که در مدل رگرسیون خطی چندگانه بردار خطای تصادفی دارای توزیع t چندمتغیره است، برآوردگرهای کمترین توان های دوم تعمیم یافته، برآوردگرهای کمترین توان های دوم تعمیم یافته مقید و تورنجش را برای بردار ...

In the linear model y=X\\\\\\\\\\\\\\\\beta+e with the errors distributed as normal, we obtain generalized least square (GLS) , restricted GLS (RGLS), preliminary test (PT), Stein-type shrinkage (S) and positive-rule ...

For estimating an unknown mean vector-parameter bt in a multivariate normal population, we propose the unrestricted, restricted and preliminary test estimators and derive their exact risk expressions under a modified ...

In this paper the conditions under which a broad class of Stein-type estimators dominates the best invariant unbiased estimator of the mean of an elliptically contoured population have been established. The superiority ...