AbstractThis paper presents a construction of the uniformly minimum variance unbiased (UMVU) estimator of real-valued functions for the simple quadratic natural exponential families on Rd. A polynomial expansion of the estimator is derived and a condition for its existence is given. The exact variance of the UMVU estimator is calculated. It is also shown that the series of the multidimensional Bhattacharyya bounds converges to this variance. These results are extensions of Morris (Ann. Statist. 11 (1983) 515) and Blight and Rao (Biometrika 61 (1974) 137). Some illustrations are indicated. Non-i.i.d. and biased cases are also discussed
AbstractConsider p independent distributions each belonging to the one parameter exponential family ...
Suppose independent random samples are available from k exponential populations with a common locati...
AbstractIn this paper two measures to highlight the possible effect of an observation on the UMVU es...
This paper presents a construction of the uniformly minimum variance unbiased (UMVU) estimator of re...
AbstractThis paper presents a construction of the uniformly minimum variance unbiased (UMVU) estimat...
For any given natural exponential family (NEF), the existence is proven for the uniformly minimum va...
AbstractWe give expansions for the unbiased estimator of a parametric function of the mean vector in...
In this paper, we obtain some results concerning the UMVUE (uniformly minimum variance unbiased esti...
We give a characterization of the natural exponential family with quadratic variance function in ter...
It has been shown that the uniformly minimum variance unbiased (UMVU) esti-mator of the generalized ...
[[abstract]]Under some regularity conditions, the asymptotic expected deficiency (AED) of the maximu...
AbstractIt is shown that for independent and identically distributed random vectors, for which the c...
It is proved that for all estimable functions and all multiparameter exponential families, Bhattacha...
It is proved that for all estimable functions and all multiparameter exponential families, Bhattacha...
It is shown that for independent and identically distributed random vectors, for which the component...
AbstractConsider p independent distributions each belonging to the one parameter exponential family ...
Suppose independent random samples are available from k exponential populations with a common locati...
AbstractIn this paper two measures to highlight the possible effect of an observation on the UMVU es...
This paper presents a construction of the uniformly minimum variance unbiased (UMVU) estimator of re...
AbstractThis paper presents a construction of the uniformly minimum variance unbiased (UMVU) estimat...
For any given natural exponential family (NEF), the existence is proven for the uniformly minimum va...
AbstractWe give expansions for the unbiased estimator of a parametric function of the mean vector in...
In this paper, we obtain some results concerning the UMVUE (uniformly minimum variance unbiased esti...
We give a characterization of the natural exponential family with quadratic variance function in ter...
It has been shown that the uniformly minimum variance unbiased (UMVU) esti-mator of the generalized ...
[[abstract]]Under some regularity conditions, the asymptotic expected deficiency (AED) of the maximu...
AbstractIt is shown that for independent and identically distributed random vectors, for which the c...
It is proved that for all estimable functions and all multiparameter exponential families, Bhattacha...
It is proved that for all estimable functions and all multiparameter exponential families, Bhattacha...
It is shown that for independent and identically distributed random vectors, for which the component...
AbstractConsider p independent distributions each belonging to the one parameter exponential family ...
Suppose independent random samples are available from k exponential populations with a common locati...
AbstractIn this paper two measures to highlight the possible effect of an observation on the UMVU es...