第一概率分佈 的英文怎麼說

中文拼音 [dìyīgàilǜfēnbù]
第一概率分佈 英文
first probability distribution
  • 第 : Ⅰ助詞（用在整數的數詞前 表示次序） auxiliary word for ordinal numbers Ⅱ名詞1 [書面語] （科第） gr...
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 第一 : first; primary; foremost; first and foremost
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. The first function returns a probability value associated with a t statistic based upon the students t distribution, while the second inverse function computes the t statistic corresponding to a given alpha setting

    第一個函數根據學生的t分佈返回了與t統計值相關的概率值，而第二個反函數計算了與給定的alpha設置相對應的t統計值。
  2. In the sense of mean squares, maximum likelihood estimator, best linear unbiased estimator, taest linear invariant estimator, and good linear estimator are contracted. fourth, proposed and researched the reliability analysis method under the zero - failure data and doof data. based on the part beta distribution as the prior distribution of failure probability p, = p ( t < r, }, hierarchical bayesian estimate method was discussed, obtain the reliability analysis method under the zero - failure data and the doof data

    第四，提出並研究了無失效數據類型和doof數據類型下電連接器的可靠性分析方法，提出了以不完全beta分佈為一級先驗分佈，超參數為[ 0 ， 1 ]上的均勻分佈作為失效概率先驗分佈的多層bayes方法，結合加權最小二乘法解決了產品在無失效數據和doof數據下的可靠性分析問題。
  3. In chapter 1, we briefly reviewed the risk theory and its development. and the significance about this paper was expressed. in chapter 2, we introduced classical risk model. in which, making this risk process into a strong markovian process is the preparation of deriving the main results. chapter 3 is the main body of the paper, we derived the results about general ruin probability in a kind of continuous time risk model with deficit - time geometry distribution of claim inter - occurrence time. the martingale approach is a good procedure to get the expression of ruin probability about a class of continuous time risk models with deficit - time geometry distribution of claim inter - occurrence time. we also take advantage of change of measure idea from it

    第二章介紹了經典風險模型，其中用逐段決定馬爾可夫過程理論及補充變量技巧，使一類風險模型的盈餘過程成為齊次強馬爾可夫過程。第三章作為本文的主體部分，在索賠到達間隔服從虧時幾何分佈的連續時間風險模型中，索賠額分佈為一般分佈，它的破產概率可以利用pdmp中的廣義生成運算元得出鞅，通過調節系數的選擇以及在相應測度下的測度變換，使得破產概率的一般解可以表示出來。
  4. This paper consists of three chapters. the first one is the preparatory knowledge underlying this paper, including the basic concepts of the piece - wise deterministic markov processes ( pdmp ), the renewal equation, the key renewal theorem and some results about the classical risk model, which come from [ 2 ], [ 8 ] and [ 9 ]. the second one introduces the results about the general ruin probability in a kind of continuous - time risk model with the deficit - time geometric distribution of inter - occurrence times, in which claim sizes are discretly distributed. these come from [ 6 ]. the main body of this paper is the third one where we derive lundberg bounds, cramer - lundberg approximations to the ruin probability and finite - horizon lundberg inequalities

    本文共三章，第一章是奠定本論文基礎的相關知識，包括逐段決定馬爾可夫過程的一些基本概念、更新方程與關鍵更新定理的內容以及經典風險模型的介紹，主要取自[ 2 ] 、 [ 8 ]和[ 9 ] 。第二章介紹了該風險模型在索賠額分佈為一般分佈下的破產概率的一般表達式及相關定理，內容來自[ 6 ] 。第三章是本文的主體，求得了該模型的破產概率的lundberg界， cram r - lundberg逼近以及有限時間破產概率的lundberg不等式。
  5. The significance about this paper was expressed. chapter 2 is the main body of the paper, we estimated and calculated the survival probability of a two - insurance risk model ; we acquired the expectation of maximal aggregate loss and the distribution of the supreme surplus before ruin ; at the same time, we discussed multi - insurance risk model in brief. in chapter 3 we briefly reviewed the whole paper and put forward the further tasks

    第一章緒論部分對風險理論及其發展作了回顧，說明將經典風險模型推廣到多險種風險模型的意義所在，並介紹了兩種典型的處理方法和獲得的主要結果；第二章是主體部分，詳細探討了兩險種風險模型生存概率的估計及計算，並得到了保險公司最大損失的一階、二階矩和破產前最大余額分佈，同時也簡略討論了多險種風險模型；第三章對全文作了回顧，提出下一步要做的工作。
  6. Firstly, by selecting and defining the resource load indexes rationally, lbmr take into consideration the effect on the resource usage of source node and destination node by the migrant. by means of vector operations, lbmr can use multiply resources in harmony. secondly, lbmr adopts the smallest k - subset random algorithin, and the load index information is provided by the information cache

    Lbmr演算法的主要思想有三點：第一，基於合理選擇和定義的資源負載向量，綜合考慮進程遷移對源節點和目標節點資源利用率的影響，通過向量運算協調多種資源的平衡使用；第二，基於最小k子集隨機演算法，採用信息cache提供的負載信息作為負載平衡演算法位置策略的選擇依據；第三，基於進程生命時間的概率分佈，根據遷移進程減速（ slowdown ）數學期望值的改善程度，選擇適合於遷移的進程。
  7. Based on the summary of previous evaluation methods, this paper points out the shortcomings of them, then draw the theory of artificial neural network into risk evaluation, through an example of some kind of investment project and the training and examination of a group investigation sample, it sets up the artificial neural network model. at last, this model is applied to the real case of an engineering project to evaluate its risk level and satisfactory result is made ; in the fifth chapter of this paper, the main risk factors that affect the economic appraisal of the engineering investment project are described through the form of relationship chart. then it is proved by way of deduction of formula that the risky influence that is brought by inflation must be considered in the engineering investment project

    本文在對以往評價方法進行歸納總結的基礎上，指出其中存在的不足之處，將人工神經網路理論引入到風險評價中，以某一類投資項目為例，通過對一組調查樣本的訓練和檢測，建立了工程投資項目風險評價的人工神經網路模型，並通過實例對模型進行了驗證，取得了滿意結果；在本文第五部分，對影響工程投資項目經濟評價的主要風險因素以關系圖的形式進行了描述，然後通過公式推導證明了在工程投資項目中應該考慮通貨膨脹帶來的風險影響，接著在分析以往建立的經濟評價凈現金流量表達式存在不足的基礎上提出了另外一種方式的表達式，即凈現值解析模型，對該模型的求解進行了詳細的說明，並分析了如何恰當的選擇各風險變量的概率分佈，最後在考慮投資者風險偏好的前提下，提出了工程投資項目新的風險度量模型。
分享友人
分享到 Line

分享到臉書