probability n. 1.或有;或然性。 2.【哲學(xué)】蓋然性〔在 certainly 和 doubt 或 posibility 之間〕。 3.【數(shù)學(xué)】幾率,概率,或然率。 4.或有的事;可能的結(jié)果。 5.〔pl.〕〔美俚〕天氣預(yù)測(cè)。 What are the probabilities 有幾分把握? The probabilities are against us [in our favour]. 趨勢(shì)對(duì)我們好像不利[有利]。 hit probability 命中率。 in all probability 很可能,大概,多半,十之八九。 probability of (missile survival) (飛彈不被擊落的)概率。 The probability is that ... 大概是…,很可能是…。 There is every probability of [that] ... 多半有,多半會(huì)。 There is no probability of [that] ... 很難有,很難會(huì)。
Chinese journal of applied probability and statistics 統(tǒng)計(jì)與信息論壇
Chinese journal of applied probability 應(yīng)用概率統(tǒng)計(jì)
Applying probability learning based evolutionary algorithm to parallel flow lines scheduling problem 并行流程式生產(chǎn)線調(diào)度問題的概率分析求解算法
The applied probability trust : the home page for the non - profit foundation that publishes the journal of applied probability and advances in applied probability 應(yīng)用機(jī)率信托:此網(wǎng)頁是為出版應(yīng)用機(jī)率學(xué)報(bào)和高等應(yīng)用機(jī)率的非營(yíng)利基金會(huì)所設(shè)。
The paper applies probability of traffic accident to the analysis and evaluation of environmental risk in transporting dangerous chemicals on xinhe - binzhou section expressway of the national major highway from weihai to wuhai , and proposes preventive and emergency measures 摘要運(yùn)用危險(xiǎn)品車輛發(fā)生交通事故的概率,對(duì)國(guó)家重點(diǎn)公路威海至烏海線新河濱州段高速公路危險(xiǎn)品運(yùn)輸環(huán)境風(fēng)險(xiǎn)做出了評(píng)價(jià)分析,并提出了防護(hù)和應(yīng)急措施。
The strong deviation theorems are new type theorems established by using the notion of the likelihood ratio . professor liu wen frist applied an analysis method in solving a class of strong deviation theorems for a sequense of random variables . later professor liu wen studied the shannon - mcmillan theorem in information theorems [ 2 ] - [ 8 ] and deviation theorems of non - negative continuous random variables [ 10 ] - [ 11 ] by using the analytic technique and obtained some strong deviation theorems . the chapter 2 of the paper studied a class of strong deviation theorems of function of two variables of information sources and obtained a further study of shannon - mcmillan theorem of markov information sourses by definning the using concept of entropy density divergence . the chapter 3 of the paper studied a class of strong deviation theorems of non - negative continuous random variables by using tool of transformation of laplace . information theory , as a branch of applied probability theory , becomes more and more important in appling 劉文教授在解決大數(shù)定律中,用首創(chuàng)的分析方法得到一類隨機(jī)變量序列的強(qiáng)偏差定理。后來,劉文教授把分析方法用于信息論中shannon - mcmillan定理和連續(xù)型隨機(jī)變量的偏差定理的研究,得到了若干強(qiáng)偏差定理。本文的第二章是引進(jìn)任意信源相對(duì)熵密度偏差的概念,并利用這個(gè)概念研究任意信源二元函數(shù)的一類強(qiáng)偏差定理,得到了馬氏信源shannon - mcmillan定理的一個(gè)推廣。
Mss consists of mathematics & applied mathematics dept . , information & computing science dept . , probability & statistics dept . and college mathematics dept . with ten subject orientations : algebra , function theory , computing science , numerical solution of differential equation , functional differential equation and its application , applied probability and statistics , mathematics mechanization , cad , coding security and financial mathematics 有代數(shù)、函數(shù)論、計(jì)算數(shù)學(xué)、微分方程數(shù)值解法、泛函微分方程及應(yīng)用、應(yīng)用概率統(tǒng)計(jì)、數(shù)學(xué)機(jī)械化、計(jì)算機(jī)圖形處理、密碼安全、金融數(shù)學(xué)十個(gè)學(xué)科方向。
In order to meet the needs of recent research in applied probability , such as finance and insurance , risk theory , random walk theory , queueing theory and branching processes and so on , the concepts of heavy - tailed random variables ( or heavy - tailed distributions ) are introduced . they are one of the important objects many scholars are concerned on . on the other hand , in a risk process , the number of these heavy - tailed variables " occurrence until the time t , i . e . all kinds of counting process , is one of the important objects , which many scholars are studying 在應(yīng)用概率的許多領(lǐng)域,如金融保險(xiǎn)、風(fēng)險(xiǎn)理論、隨機(jī)游動(dòng)理論、排隊(duì)論、分支過程等,重尾隨機(jī)變量或重尾分布都是重要的對(duì)象之一,另一方面,在一個(gè)風(fēng)險(xiǎn)過程中,到t時(shí)刻時(shí),這些重尾變量出現(xiàn)的個(gè)數(shù),即各種記數(shù)過程,也是人們研究的主要對(duì)象之一,本文主要對(duì)重尾分布的控制關(guān)系與極值過程的跳時(shí)點(diǎn)過程的精致漸近性進(jìn)行深入的討論。
百科解釋
Much research involving probability is done under the auspices of applied probability, the application of probability theory to other scientific and engineering domains. However, while such research is motivated (to some degree) by applied problems, it is usually the mathematical aspects of the problems that are of most interest to researchers (as is typical of applied mathematics in general).