概率運算元測度 的英文怎麼說

中文拼音 [gàilǜyùnsuànyuáncèdù]
概率運算元測度 英文
probability operator measure
  • 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
  • 運 : Ⅰ動詞1 （物體位置不斷變化） move; revolve 2 （搬運; 運輸） carry; transport 3 （運用） use; wield...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 運算 : [數學] operation; arithmetic; operating
  1. In the following part, we define a couple of new approximate operators and a couple of corresponding new approximate measure operators, in this way, inner measure belief function and lower probability all can be considered as the particular cases of this lower approximate measure

    通過定義一對新的逼近運算元以及相應的一對逼近測度，使內測度、信任函數、隨機集上的下概率均可表示為此下逼近測度結構下的一種特例。
  2. 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。
  3. In the study of risk theory, a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable. martingale approach is one of the most powerful methods of pdmp. the programming process is getting the ruin probability from the martingale construction. we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient

    本文應用逐段決定馬爾可夫過程理論及補充變量技巧，使索賠到達間隔服從虧時幾何分佈的連續時間風險過程成為齊次強馬爾可夫過程，然後利用pdmp中的鞅方法（用廣義生成運算元得出鞅）推導了鞅的形式，作為該風險模型索賠額分佈為一般分佈下的破產概率的一般表達式，其中用到了測度變換的思想。
  4. It uses factor analysis method and dualistic relative comparative method to account the ability place of a loan enterprise in its industry, which can confirm the station in its industry better. by using time series model to forecast an enterprise ' s cash flow in the future, we can measure the repayment ability of an enterprise. by using logit model to account the probability of default for a loan enterprise, we can estimate the possibility of its default

    運用因子分析法和二元相對比較法計算貸款企業在本行業中的財務能力排名，更好地確定其在本行業中的地位；運用時間序列模型預測企業未來的現金流量，從而測度貸款企業未來的還款能力；運用logit模型計算貸款企業的違約概率，估計其違約的可能性；從貸款企業的行業風險、經營風險、管理風險、借款人還款意願等方面對貸款企業的非財務因素進行分析。
  5. By redefining the cardinality of set, we establish the relationship between the domain / range ratio and the testability metric. pie model can help us doing white box test in unit test phase. based on the fault / failure model and conditional probability, a formula is found to get testability metric, with which we prove there is a max value in software testability metric

    在單元測試階段可以運用pie模型幫助進行白盒測試，本文在軟體的錯誤/故障模型的基礎上，運用概率論中條件概率的相關知識，建立了可測試性的一個計算公式，並使用該公式證明了軟體的可測試度存在一個最大值。
  6. Edges of the image are detected out firstly, labeled according to the motion that they obey then and the areas of the frame between edges are divided into regions. at last, using the bayesian framework presented determines the most likely region labeling and depth ordering with the labeled edges

    首先使用經典的canny運算元檢測出一幀圖像的邊緣，然後對其進行運動估計、邊緣和區域標定，再應用最大后驗概率的貝葉斯方法搜索出不同區域的極大似然分割，給出不同運動層的相對深度標定。
分享友人
分享到 Line

分享到臉書