The normal curve, on the other hand, is a family of symmetric curves based on the normal distribution function. The specific dimensions of each normal curve depend on the value of the mean, and ...

The graph below shows the total number of publications each year in Shrinkage Estimation and Balanced Loss Functions in Multivariate Normal Distribution.

Which normal density curve best approximates the sample histogram? The answer suggested here is the normal curve that minimizes the integrated squared deviation between the histogram and the normal ...

A robust procedure is developed for estimating density functions from data. It requires the existence of a parametric function, called the key function, to give a first approximation to the density ...