random value variance 中文意思是什麼

random value variance 解釋
隨機值變化
  • random : n 〈罕用語〉胡亂行為,偶然的[隨便的]行動[過程]。adj 1 任意的,胡亂的,隨便的;(話等)信口亂說的...
  • value : n 1 價值;重要性;益處。2 估價,評價。3 價格,所值;交換力。4 (郵票的)面值。5 等值;值得花的代...
  • variance : n. 1. 變化,變動,變更;變度,變量;【統計】(平)方(偏)差。2. (意見等的)相異;不和,沖突,爭論。3. 【法律】訴狀和供詞的不符。
  1. On the other hand, the moment, the second moment and variance of the present value random variables about some life annuities and annuities with random interest rate are gotten

    另一方面討論了隨機利率下的一些離散年金、連續年金和連續生存年金現值隨機變量的一階和二階原點矩及其方差。
  2. Besides, this paper adopts the random finite element method, uses geometric and physical mechanical parameters that are relevant to lining weight of surrounding rock, coefficient of lateral pressure, height or buried depth of vertical loading, elastic resistance coefficients of surrounding rock, elastic modulus of support structure, unit weight of concrete, thickness of the structure as well as torsional strength and compression strength of concrete and etc., as random variables, applies the monte - carlo method to sampling by computer, preliminarily evaluates the reliability of bearing capacity and stability of molded concrete lining of the xuefeng mountain tunnel, and obtains the related displacement of the lining, mean value and variance of internal force, and computed the reliability index of lining structures

    此外,本文採用隨機有限元方法,將圍巖容重、側壓力系數、垂直荷載高度或埋深、圍巖的彈性抗力系數、支護結構的彈性模量、混凝土容重、結構的厚度以及混凝土的抗扭與抗壓強度等與襯砌結構有關的幾何與物理力學參數作為隨機變量,應用蒙特卡洛理論進行計算機隨機取樣,對雪峰山隧道模注混凝土襯砌的承載力與穩定性的可靠度進行了初步評估,得出了襯砌的相關位移與內力的均值和方差,並計算出了相應的襯砌結構可靠指標。
  3. Specially, based on risk - metric and factor variables, the author discusses multi - factor asset pricing model. in theoretical analysis, the author attempts to release the assumption of index ' s random walk, proves a portfolio selection model suitable for the linear index level moreover, based on assets un - exchangeable, the author brings forward asset pricing models for b - shares, h - shares and non - circulated - shares. the author also brings forward multi - factor asset pricing model based on risk - metric indices, such as coefficient of beta, standard variance, standard semi - variance, average absolute deviation, value at risk, and factor variables, such as circulated market equity, exchange ratio, short - term historical return

    在理論分析時,作者嘗試放鬆指數水平滿足隨機遊走過程的假設,推導出指數水平呈線性趨勢的資產組合選擇模型;此外,作者基於資產不可交易這一假設,提出了b股、 h股和非流通股等情形的資產定價模型,並基於系數、標準差、標準半方差、平均絕對離差和風險價值等風險度量指標以及流通市值、換手率、短期歷史收益率等因素變量提出了四因素資產定價模型。
  4. Then, from the expressions of structural random response of the frequency domain, the computational expressions of the mean value, variance and variation coefficient of the mean square value of the structural displacement and stress response under the stationary random excitation or non - stationary random excitation are developed by means of the random variable ’ s

    在此基礎上,從隨機振動頻域分析出發,導出了在平穩或非平穩隨機激勵下,隨機結構的位移響應均方值、應力響應均方值的數字特徵計算表達式,通過算例驗證了所建模型和所提求解方法的正確性和有效性。
  5. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後,研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論,證明了模型系數的后驗分佈為多元t分佈,模型誤差項方差的后驗估計為逆gamma分佈;根據多元t分佈和f分佈之間的關系,構造了模型系數線性假設檢驗的貝葉斯方法;根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法,並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
  6. Moreover, the special expression of the moment, the second moment and variance with de moivre ' s death rate were given. finally, considering abrupt event ' s effect on interest, we established the models of the random rate of interest jointly by gauss process and poisson process, wiener process and poisson process or o - u process and poisson process, also gave the moment, the second moment and variance of the payable present value under the three cases. moreover giving the special expression of the moment, the second moment and variance with de moivre ' s death rate

    對于連續型情況,隨機利率分別採用gauss過程、 wiener過程和o - u過程建模,分別給出了給付現值的一、二階矩和方差,並在demoivre死亡律假設下得到了矩的簡潔表達式;考慮到突發事件對利率的影響,又對隨機利率採用gauss過程、 wiener過程和o - u過程分別與poisson過程聯合建模,分別給出了給付現值的一、二階矩和方差,並在demoivre死亡律假設下得到了矩的簡潔表達式。
分享友人