： The objective of this study is to introduce briefly the concept and theory of the informational entropy，and to review the state－of－the－art of its application in hydrology，water resources and water environment． The prospect study is also inquired as the remarks．
According to the theory of dissipative structure and geometry of fractal's idea raised by Mandelbort ,we studied dynamic variation on seismicity entropy of information and fractal dimension and spacio-temporal characteristic of earthquake sequence(M≥1. 5) before and after Manasi 5. 8 earthquake.
This dissertation introduces the Taguchi robust design method base on the experiment design, being dead against difficult of measuring the whole variability of the multi-target quality characteristic, establishes an appropriate measuring process base on entropy of information theory which can measure random variables.
This paper presents a method which introduces information entropy of information theory and derives probability distribution of approximation independent particle system under equilibrium by using of maximum information entropy principle.
We also prove that among all matrix functions with these properties, there exists a distinguished one that maximizes the entropy.
The Arov-Grossman Model and the Burg Multivariate Entropy
In this article we deal with the Arov-Grossman functional model to describe all the solutions of the Covariance Extension Problem for q-variate stationary stochastic processes and we find the density that maximizes the Burg Multivariate Entropy.
With this correspondence, the density that maximizes the Burg Multivariate Entropy corresponds to the function H\equiv0.
An asymptotic behavior of the corresponding entropy numbers is calculated.