Characterization and reliability analysis of statistical distribution of A Class of Stochastic Signal Systems

TLDR: In this article, the authors discuss the stochastic statistical inference of survival analysis of human and biological populations in a class of random effect models, and explore and excavates a series of valuable large-scale processes in this kind of generalized process.

Abstract: In recent years, big data statistical survival analysis has become the most challenging and hot topic for biologists and statisticians. On the basis of extending the research of information flow in general information space to the study of stochastic dynamic information flow in generalized information measurement space with higher value and more information, this paper discusses the stochastic statistical inference of survival analysis of human and biological populations in a class of random effect models, and explores and excavates a series of valuable large-scale processes in this kind of generalized process Based on the statistical information of data, the optimal statistical inference mathematical model of random signals of this kind of generalized process is obtained, which provides a very effective mathematical processing method and method for statistical inference and analysis of big data for further study of such processes, such as optimal control and reliability analysis in the research of brain aging.