An application of the convolution inequality for the Fisher information
Authors:
Yoshiaki Itoh
Affiliation:
(1) The Institute of Statistical Mathematics, 4-6-7, Minami-Azabu, Minato-ku, 106 Tokyo, Japan
Abstract:
A characterization of the normal distribution by a statistical independence on a linear transformation of two mutually independent random variables is proved by using the convolution inequality for the Fisher information.