您要查找的是不是：
- wider stationary quantum stochastic processes 寬平穩量子隨機過(guò)程
- Certain Wider Stationary Quantum Stochastic Processes and Example in Statistical Mechanics 一類(lèi)寬平穩量子隨機過(guò)程及實(shí)例分析
- Markov Process is an extensively applied stochastic process model. 馬爾可夫過(guò)程是一個(gè)有著(zhù)廣泛應用的隨機過(guò)程模型.
- The set of past events affecting a given event in a stochastic process. 過(guò)去發(fā)生的事在一隨機過(guò)程中影響一給定事件的過(guò)去發(fā)生的一組事件
- As we all known, Brownian motion is an important type of stochastic process. 我們大家都知道，布朗運動(dòng)是一類(lèi)很重要的隨機過(guò)程。
- Karlin, S. and Taylor, H.M., A First Course in Stochastic Processes, Second Edition，Academic Press，1975. 《現代概率論基礎》，中國科學(xué)院研究生教學(xué)叢書(shū)，科學(xué)出版社，2001。
- The stochastic process method is applied to forecast Shanghai stock composite index trend. 摘要應用隨機過(guò)程方法預測了上證綜合指數的走勢。
- The paper gives conditions of measurability and progressive measurability on two-dimensinal stochastic Processes. 摘要給出了兩參數隨機過(guò)程的可測性及循序可測性的條件。
- Probabilistic dynamics, which is a general modeling theory for dynamic stochastic processes, is introduced. 介紹了描述動(dòng)態(tài)隨機過(guò)程的一般性理論-概率動(dòng)力學(xué)。
- quantum stochastic differential equation 量子隨機微分方程
- Furthermore, the convergence of the DHIA is proved theoretically through the Markov stochastic process theory. 最后根據隨機過(guò)程的理論知識，證明了該算法的收斂性。
- Where the uncertain matrix is norm bounded and time-varying, while the external disturbance is a stochastic process. 假設不確定參數矩陣是時(shí)變，范數有界的，外部干擾是一個(gè)隨機過(guò)程。
- Conclusion The fuzzy stochastic process model can show the effect of students management. 結論模糊隨機過(guò)程模型能夠反映對學(xué)生的管理效果。
- A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th edition, McGraw Hill, Singapore, 2002. 徐義人，工程機率統計學(xué)，國立編譯館，臺灣，民88年(1999)。
- It is not necessary to assume the concrete stochastic process model for a repairable system when we estim... 認為運用灰色預測模型來(lái)估計可修復系統的故障時(shí)刻，不必假定系統的隨機過(guò)程模型。且估計精度較高，是1種有效方法。
- The material presented in this chapter should give adequate preparation for those interested in specializing inspecific areas of advanced probability and stochastic processes. 這一章所講的內容，對有志于專(zhuān)攻高深概率和隨機過(guò)程方面的人，將給出充分的準備。
- The material presented in this chapter should give adequate preparation for those interested in specializing in specific areas of advanced probability and stochastic processes. 這一章所講的內容,對有志于專(zhuān)攻高深概率和隨機過(guò)程方面的人,將給出充分的準備。
- Research and teaching: Stochastic Process, Stochastic analysis, Risk theory, Financial Economics and Mathematical Finance. 主要研究和教學(xué)領(lǐng)域：隨機過(guò)程，隨機分析，風(fēng)險理論，金融經(jīng)濟學(xué)，金融數學(xué)。
- A temperature stochastic process has been suggested with utilizing Vasicek mean reversion model, considering about seasonal effect and time trend. 本文主要參照均值回復模型，考慮氣溫的季節變化和長(cháng)期趨勢，建立反映氣溫變化的隨機模型，應用1980至1999年北京日平均氣溫對模型參數進(jìn)行估計。
- Quantum Stochastic Differential Equations in Terms of Generalized Operators 廣義算子意義下的量子隨機微分方程
