標準正態分佈 的英文怎麼說

中文拼音 [biāozhǔnzhēngtàifēn]
標準正態分佈 英文
standard normal distribution
  • : Ⅰ名詞1 [書面語] (樹梢) treetop; the tip of a tree2 (枝節或表面) symptom; outside appearance; ...
  • : Ⅰ名詞1 (標準) standard; guideline; criterion; norm 2 (目標) aim; target Ⅱ動詞1 (依據; 依照)...
  • : 正名詞(正月) the first month of the lunar year; the first moon
  • : 名詞1. (形狀; 狀態) form; condition; appearance 2. [物理學] (物質結構的狀態或階段) state 3. [語言學] (一種語法范疇) voice
  • : 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
  • 標準 : (衡量事物的準則; 榜樣; 規范) standard; criterion; benchmark; pip; rule; ètalon (衡器); merits
  1. Standard deviation in statistics, a measure of the dispersion of a frequency distribution : it is the average magnitude of deviations from the center of normal curve, calculated by squaring all the deviations, calculating their mean, then finding the square root of the mean

    偏差:統計中,一種衡量數據組散或變化情況的數據,是偏離中間位置數據大小的平均值。
  2. Second, carried out the fatigue life test of the truck ' s front axles adopted grouping fatigue life test method, calculated the results on theory of probability stats, linear fitted the fatigue life data by means of the basquin equation and least squares method, acquired the mathematical model of s - n and p - s - n curve of the front axles

    其次,採用成組試驗法,對汽車前橋進行了疲勞壽命試驗,藉助概率統計方法對試驗結果進行了析計算,得到了各試驗載荷下的疲勞壽命的的均值和差,採用basquin關系式和最小二乘法對疲勞壽命數據進行線性擬合,得到了前橋的s - n和p - s - n的關系。
  3. The results show that whole structure has high reliability index and values, so the boiler steel frame is enough safety and reliability. finally prospect of research and engineering applications of boiler steel frame is discussed in this paper

    考慮隨機影響因素及服從的隨機荷載,以整體結構最大應力處構件為評價,計算得到結構構件的可靠度指和可靠度概率值。
  4. The results obtained from the simulation example suggest a good effect and significance of using gps simulation data for demonstrating the feasibility and validity of an od design or an algorithm of certain problem. 4 the ill - conditioned problem existing in relative kinematic od using gps carrier - phase data is discussed and then some preliminary efficient approaches for solving this problem are given out there are several reasons that cause the ill - condition pro

    (四)探討了星載gps相位相對定軌中的病性問題,並嘗試給出了較有效的解決方案地面基站、低軌衛星和gps衛星之間的幾何形狀不佳,差技術的應用使得模糊度之間及模糊度和三維坐向量改之間產生較強的相關性,往往都會導致星載gps定軌中的法矩陣的病性。
  5. To define a particular normal probability distribution, we need only two parameters: the mean(μ)and the standard deviation(θ).

    確定一個具體的概率,只需要兩個參數:平均數和
  6. By successful solution of non - linear magnetic fields and revision of the program, we can reach following conclusions : in the computation of nonlinear magnetic fields, if iteration method is used, under - relaxation is necessary when amending the permeability distribution in soft magnetic materials ; and when < wp = 5 > calculating the equivalent current density in permanent magnets, under - relaxation is not a necessity ; when searching for permeability values by interpolation method on the demagnetization curve of soft magnetic materials, if a fixed saturation point is set, around this point an abrupt change of permeability values will be obtained ; this sudden change may cause a little problem in the smoothness of magnetic field distribution ; because the magnetic circuits of microwave tubes are too complicated, in the author ' s view, to describe the working state of a magnet system, the working points of magnets can not do it properly but average energy production of magnets will serve ; as to indicate the quality of a magnet system design for microwave tubes, the efficiency of magnetic energy utilization will be a very good criterion

    由此得出結論,在非線性磁場計算中:採用迭代法的情況下,在各迭代循環之間進行磁導率修時,一個欠鬆弛迭代過程是必需的;對永磁體中的等效電流修時可以不作欠鬆弛迭代;在純鐵的磁化曲線上指定某一個固定的磁感應強度為磁飽和值,會使得插值求出的磁導率在該磁飽和值附近有一突變,這一突變對計算結果中磁場變化的光滑性稍有影響。在微波管磁系統設計中,由於微波管磁路比較復雜,作者認為磁體的工作點並不能很好地反映磁體的工作狀,而採用平均磁能積為衡量磁體工作狀更加符合微波管磁系統的實際情況;要表示磁系統設計好壞的程度,則用磁能利用的效率為更好。
  7. Dealing with faces illumination variation based on dynamic directional gradient vector flow snake and gamma algorithm a new dynamic directional gradient vector flow snake ddgvf snake algorithm was presented which can detect the image shadow and highlight contours of the unknown face images. according to the given standard face database, the image gray median could be c.

    使用一種動方向梯度矢量流snake ddgvf snake演算法來檢測未知圖像的陰影和高光區域,根據已知的人臉圖像庫中圖像的灰度,計算出灰度中值,然後採用加權非線性gamma灰度矯演算法來歸一化待識別圖像的光照變化,使之與已知的庫中的圖像灰度一致。
  8. Then, this paper empirically tested the validation and predictive accuracy of different var risk management model in the domestic financial market. finally, with the analysis of modem financial risk management development trend and the current domestic financial risk management situation, this paper made a prospect for the application of this model in the construction of domestic financial risk management system. through the analysis, the main conclusions are as follows : ( l ) the traditional mean - variance model is the special example of the portfolio selection based on the var risk management model for the case that the returns of the portfolio are assumed to be normally distributed ; compared with the mean - variance model, the var risk management model is more comprehensive and accurate in the measurement of the portfolio risk, so based on the var model, the investors can allocate the asset more effectively. ( 2 ) the var risk management model can provide the timely and comprehensive risk information for the top risk manager, so it is very helpful to the improvement of total risk management efficiency. ( 3 ) based on the var model, the raroc performance valuation approach can reflect the real performance of the portfolio manager and provide the coherent standard for the allocation of risk limitation and the construction of the incentive compatibility constraint mechanism in the financial instiutions

    通過研究析,本文主要得出如下結論: ( 1 )傳統的markowitz均值? ?方差模型僅僅是在資產組合收益率假設條件下基於var風險管理模型進行資產組合選擇的特例,與均值? ?方差模型中的方差風險度量方法相比, var風險管理模型能夠更全面、更貼切地衡量資產組合的風險,且基於此模型能夠更有效地進行資產配置決策; ( 2 ) var風險管理模型能夠滿足更高層次風險管理者對風險信息的需求,有助於整體風險管理效率的提高; ( 3 )基於var風險管理模型的raroc績效評價能夠反映資產組合管理人的真實業績,從而為金融機構風險限額的配和激勵約束機制的制定提供統一的; ( 4 )國內證券市場資產組合收益率服從的假設明顯不成立,實證檢驗表明基於資產組合收益率假設條件下的方差? ?協方差模型對國內資產組合風險的預測存在較大的偏差,由於文中證明在收益率假設條件下基於方差? ?協方差模型進行資產組合選擇的結果等價于markowitz的均值? ?方差模型,因此,均值? ?方差模型對國內資產組合風險的預測同樣會存在著較大的偏差,而半參數var風險管理模型則能夠取得較好的預測衡量效果; ( 5 ) var風險管理模型符合未來金融風險管理的發展趨勢,基於var風險管理模型建立內容提要風險限額內控體系、風險信息披露體系和業績評價體系,並進行金融監管,將有助於國內金融機構內部風險管理方法和外部監管技術跟上國際金融風險管理的發展潮流。
  9. In regards to techniques employed in active asset allocation, the author found that models applied in asset allocation can be divided into the optimal mean - variance model and risk averse asset allocation model, according to their different risk levels, and they can also be divided into linear asset allocation model and non - linear asset allocation model according to whether the asset return follows a normal distribution

    關于積極資產配置的技術,作者研究結論認為,積極資產配置模型按對風險的不同測度可區為,均值方差最優化框架下的資產配置模型和下偏風險厭惡框架下的資產配置模型兩類;按是否假定資產收益服從,可區為線性資產配置模型和非線性資產配置模型。
  10. And use relative fitting error to measure statistical data non - uniform error ; then introduce the method systematically of using the fuzzy comprehensive evaluation method to carry on the overall superior test of the government statistical data quality. includes the establishment of step level appraisal target system, target weight determination, calculates the factor weight in various levels, uniform test of judgment matrix, and built up the final fuzzy comprehensive evaluation model of the government statistical data quality according to the above - mentioned standard ; finally selects the partial main social economy total quantity target from chinese statistics yearbook 2003 to carry on the real diagnosis analysis : ( 1 ) confirm these social economy total quantity targets using the description statistics and the k - s inspection method to obey the lognormal normal distribution. ( 2 ) according to the two levels of inspection methods which this article proposed to carry on accuracy and the overall superior test for these social economy total quantity targets

    本文首先從統計數據及質量的涵義出發,全面系統的介紹了統計數據質量的概念;其次,從研究統計數據的規律入手,對統計數據確性檢驗問題進行了探討,利用對數檢驗對反映研究對象規模大小的統計數據的質量及異常數據進行定量檢查和識別,並利用相對擬合誤差計量統計數據的非一致性誤差;接著系統介紹了利用模糊綜合評價方法對政府統計數據質量進行整體優度檢驗的思路,具體包括建立遞階層次的評價指體系,指權重的確定,計算各層次中因素的權重,判斷矩陣的一致性檢驗,並根據上述建立了最終的政府統計數據質量模糊綜合評價模型;然後通過從2003年中國統計年鑒資料中選取部主要的社會經濟總量指進行實證析: ( 1 )利用描述統計和k - s檢驗法來驗證這些社會經濟總量指服從對數的規律; ( 2 )按照本文提出的二級檢驗法來對這些社會經濟總量指進行確性和整體優度檢驗,從而達到綜合評價政府統計數據質量的目的;最後對這種二級檢驗法的優點和不足進行小結,提出今後應該努力改進的方向。
  11. Let { xn ; n > 1 } be mutually identically independent random variables distributed according to the normal distribution, { sn, n > 1 } be finite partial sum series, the purpose of this paper is to investigate law of the iterated logarithm type results for special finite partial weight sum series { sn, n > 1 }, we assume that sn = a1sn + a2 ( s2n - sn ) + a3 ( s3n - s2n ) +. . + ad ( sdn - s ( d - 1 ) n ) in the second chapter, theory 2 by using the method of literature [ 8 ], we extend hartman - wintner law of iterated logarithm on the gauss distribution. we substitute negative correspond for independent. it extends the corresponding results in gauss distribution

    設{ x _ n ; n 1 }是獨立同的且服從標準正態分佈的隨機變量序列, { s _ n , n 1 }是其部和數列,討論有限項特殊加權部和{ s _ n , n 1 }的重對數律,其中定理2利用文獻[ 8 ]提供的方法,在高斯上改進了hartman - wintner的重對數律,取消獨立性用更弱的條件負相關代替,大大拓寬了重對數律在高斯中的使用范圍。
  12. In the paper, the main results are brought forth in five aspects as follows : ( 1 ). the analysis of statistics the characteristic indicated that the variation coefficient of the soil nitrogen density of 0 ~ 30cm depth is lower, the variation coefficient is only 3. 6 %, the variation coefficient of the nitrogen density of 0 ~ 100cm depth is much bigger than that the 0 ~ 30cm depth, it is 100 %. based on the second national soil general survey material, the average soil profile depth is 101cm, this is in corresponding with skew normal distribution, its standard deviation is 0. 0192

    通過研究,得到以下認識與結果: ( 1 )統計特徵析表明, 0 30cm厚度土壤氮密度的變異系數較低,為3 . 6 , 0 100cm厚度的氮密度的變異系數相對于來說就很大,為100 ;全國土壤剖面深度平均為101cm ,符合偏方差為0 . 0192 ; 0 30cm厚度土壤氮密度服從對數,而0 100cm厚度土壤氮密度基本服從偏
  13. < uk > to define a particular normal probability distribution, we need only two parameters : the mean ( ) and the standard deviation ( ). < / uk >

    < uk >確定一個具體的概率,只需要兩個參數:平均數和差< uk >
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