We consider the problem of estimating the first k coefficients in a regression equation with k + 1 variables. For this problem with known variance of innovations, the neutral Laplace weighted-average ...

Two theorems are presented which are useful in making inferences about the univariate normal distribution. Some applications of the theorems are given. It is thought that the theorems will prove ...

Recent advances in estimation techniques have underscored the growing importance of shrinkage estimation and balanced loss functions in the analysis of multivariate normal distributions. These ...

There are no completely satisfactory methods for determining the number of population clusters for any type of cluster analysis (Everitt 1979; Hartigan 1985; Bock 1985). It is always a good idea to ...

The normal distribution is the probability distribution that plots all of its values along a symmetrical bell curve, with the highest probabilities centered around the mean value and tapering out ...