The material presented in this chapter should give adequate preparation for those interested in specializing in specific areas of advanced probability and stochastic processes . 這一章所講的內(nèi)容,對(duì)有志于專攻高深概率和隨機(jī)過程方面的人,將給出充分的準(zhǔn)備。
Measurability on two - dimensional stochastic processes 兩參數(shù)隨機(jī)過程的可測(cè)性
A stationary subclass of a kind of stochastic processes 一類隨機(jī)過程的一個(gè)平穩(wěn)子類
Stability of set - value stochastic processes 關(guān)于集值隨機(jī)過程的平穩(wěn)性
Stopping of two - parameter stochastic processes 兩指標(biāo)隨機(jī)過程的停止
Application of stochastic process in teaching quality appraisal 隨機(jī)過程在教學(xué)質(zhì)量評(píng)估中的應(yīng)用
Stationary fuzzy stochastic processes and their spectral decompositions 平穩(wěn)模糊隨機(jī)過程及其譜分解
Some covergence of stochastic processes functional in hilbert space 空間中隨機(jī)過程泛函的某些收斂性
Probability theory stochastic process 概率論與隨機(jī)過程
Probability theory stochastic process 概率論與隨機(jī)過程
a statistical process involving a number of random variables depending on a variable parameter (which is usually time)
百科解釋
In probability theory, a stochastic process (), or sometimes random process (widely used) is a collection of random variables; this is often used to represent the evolution of some random value, or system, over time. This is the probabilistic counterpart to a deterministic process (or deterministic system).