Add to ORKGThe purpose of this article is to present an easy procedure to derive MVUE of a probability distribution. The procedure is then explained by estimating some well known probability distributions with the hope that it will attract theattention of students and teachers of Statistics
We construct minimum variance unbiased estimators of von Mises functionals in estimation problems wh...
This thesis extends work on finding optimal estimates of Pt, both in the case where P is a scalar, a...
Starting with the general linear model Y=Xβ+ε where E(εε')=θ1V1+ ... +θpVp, the theory of minimum no...
Let the probability density of observations be denoted by φ(x | θ), where x stands for the variables...
15 pages, 1 article*Minimum Variance Estimation of Probabilities* (Rohde, Charles A.) 15 page
In a given statistical framework let T be the class of all estimates that are the uniformly minimum ...
AbstractWe derive the minimum variance quadratic unbiased estimator (MIVQUE) of the variance of the ...
This paper derives the minimum variance unbiased estimate of the reliability function associated wit...
AbstractIt is shown that for independent and identically distributed random vectors, for which the c...
Practical computation of the minimum variance unbiased estimator (MVUE) is often a difficult, if not...
This thesis is concerned with the problem of variance components estimation and its applications in ...
This paper is concerned with the unbiased estimation of integral powers of the variance from a sampl...
To efficiently and completely correct for selection bias in adaptive two-stage trials, uniformly min...
AbstractWe give uniformly minimum variance unbiased estimators of a mean, a variance, and a covarian...
AbstractThe variance of a quadratic function of the random variables in a linear model is minimized ...
We construct minimum variance unbiased estimators of von Mises functionals in estimation problems wh...
This thesis extends work on finding optimal estimates of Pt, both in the case where P is a scalar, a...
Starting with the general linear model Y=Xβ+ε where E(εε')=θ1V1+ ... +θpVp, the theory of minimum no...
Let the probability density of observations be denoted by φ(x | θ), where x stands for the variables...
15 pages, 1 article*Minimum Variance Estimation of Probabilities* (Rohde, Charles A.) 15 page
In a given statistical framework let T be the class of all estimates that are the uniformly minimum ...
AbstractWe derive the minimum variance quadratic unbiased estimator (MIVQUE) of the variance of the ...
This paper derives the minimum variance unbiased estimate of the reliability function associated wit...
AbstractIt is shown that for independent and identically distributed random vectors, for which the c...
Practical computation of the minimum variance unbiased estimator (MVUE) is often a difficult, if not...
This thesis is concerned with the problem of variance components estimation and its applications in ...
This paper is concerned with the unbiased estimation of integral powers of the variance from a sampl...
To efficiently and completely correct for selection bias in adaptive two-stage trials, uniformly min...
AbstractWe give uniformly minimum variance unbiased estimators of a mean, a variance, and a covarian...
AbstractThe variance of a quadratic function of the random variables in a linear model is minimized ...
We construct minimum variance unbiased estimators of von Mises functionals in estimation problems wh...
This thesis extends work on finding optimal estimates of Pt, both in the case where P is a scalar, a...
Starting with the general linear model Y=Xβ+ε where E(εε')=θ1V1+ ... +θpVp, the theory of minimum no...