例句與造句

1. If they are done appropriately they should provide valuable feedback on the function point counting process
   因為如果他們審計正確，將會給功能點估算過程提供非常有價值的反饋。
2. We ' ll introduce some definitions and some previous results in section 3 . 1 , and introduce the precise asymptotics for the counting process of record times of i . i . d
   我們將在3 1節(jié)介紹一些定義及已有的結(jié)果，在3
3. Implement inventory cycle count according to cycle count process , make full analysis on any variance and take necessary measures for improvement
   根據(jù)周期計算流程實施周期計算，對任何變化作周全的分析并采取必要措施提高。
4. They can enter the counting stations after 10 . 30 pm on september 10 to see the opening of ballot boxes and witness the whole counting process
   歡迎市民參觀開啟票箱和整個點票過程，市民可于9月10日晚上10時30分后進入各點票站。
5. Like other industries that have prescribed guidelines ( such as accounting ) , independent auditors can provide valuable feedback on the actual function point count and the overall function point counting process
   和其他有既定指導(dǎo)方針的行業(yè)（如會計業(yè)）一樣，獨立的審計師可以對實際功能點估算和整個功能點估算過程提供很有價值的反饋。
6. It's difficult to find counting process in a sentence. 用counting process造句挺難的
7. It is just like what embrechts , kl ppelberg and mikosch ( 1997 ) [ 6 ] pointed out : " random sums are the bread and butter of insurance mathematics " . and what have intimate relation with random sums are renewal counting processes and other counting processes . in the current theory of insurance and finance , the random variables generating counting processes are often supposed independent identically distributed , this hypothesis is reasonable in many situations and we have obtained rather satisfactory " results about it
   ) ppelbergandmikosch ( 1997 ) [ 6 ]指出： “隨機和就像是保險數(shù)學(xué)中的面包和黃油” ，而與隨機和密切相關(guān)的是更新計數(shù)過程和其他計數(shù)過程，在現(xiàn)行保險金融理論中，人們往往假設(shè)構(gòu)成計數(shù)過程的隨機變量獨立同分布，這一假設(shè)在許多場合下是合理的，并且取得了頗為圓滿的結(jié)果。
8. But in more situations the random variables generating counting processes may not independent identically distributed , and in all kinds of dependent relations , negative association ( na ) and positive association ( pa ) are commonly seen . the research and apply in this aspect are rather valuable . in chap 2 we prove wald inequalities and fundamental renewal theorems of renewal counting processes generated by na sequences and pa sequences ; in chap 3 we are enlightened by cheng and wang [ 8 ] , extend some results in gut and steinebach [ 7 ] , obtain the precise asymptotics for renewal counting processes and depict the convergence rate and limit value of renewal counting processes precisely ; at last , in the study of na sequences , su , zhao and wang ( 1996 ) [ 9 ] , lin ( 1997 ) [ 10 ] have proved the weak convergence for partial sums of stong stationary na sequences . however product sums are the generalization of partial sums and also the special condition of more general u - statistic
   但在更多的場合中，構(gòu)成計數(shù)過程的隨機變量未必相互獨立，而在各種相依關(guān)系中，負相協(xié)( na )和正相協(xié)( pa )是頗為常見的關(guān)系，這方面的研究和應(yīng)用也是頗有價值的，本文的第二章證明了na列和pa列構(gòu)成的更新計數(shù)過程的wald不等式和基本更新定理的一些初步結(jié)果；本文的第三章則是受到cheng和wang [ 8 ]的啟發(fā)，推廣了gut和steinebach [ 7 ] )中的一些結(jié)論，從而得到了更新計數(shù)過程在一般吸引場下的精致漸近性，對更新計數(shù)過程的收斂速度及極限狀態(tài)進行精致的刻畫；最后，在有關(guān)na列的研究中，蘇淳，趙林成和王岳寶( 1996 ) 》 [ 9 ] ，林正炎( 1997 ) [ 10 ]已經(jīng)證明了強平穩(wěn)na列的部分和過程的弱收斂性，而乘積和是部分和的一般化，也是更一般的u統(tǒng)計量的特況，它與部分和有許多密切的聯(lián)系又有一些實質(zhì)性的區(qū)別，因此，本文的第四章就將討論強平穩(wěn)na列的乘積和過程的弱收斂性，因為計數(shù)過程也是一種部分和，也可以構(gòu)成乘積和，這個結(jié)果為研究計數(shù)過程的弱收斂性作了一些準備。
9. 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、風險理論、隨機游動理論、排隊論、分支過程等，重尾隨機變量或重尾分布都是重要的對象之一，另一方面，在一個風險過程中，到t時刻時，這些重尾變量出現(xiàn)的個數(shù)，即各種記數(shù)過程，也是人們研究的主要對象之一，本文主要對重尾分布的控制關(guān)系與極值過程的跳時點過程的精致漸近性進行深入的討論。