誤差項 的英文怎麼說

中文拼音 [chāxiàng]
誤差項 英文
error term
  • : Ⅰ名詞(錯誤) mistake; error Ⅱ動詞1 (弄錯) mistake; misunderstand 2 (耽誤) miss 3 (使受損害...
  • : 差Ⅰ名詞1 (不相同; 不相合) difference; dissimilarity 2 (差錯) mistake 3 [數學] (差數) differ...
  • : Ⅰ名詞1 (頸的後部) nape (of the neck) 2 (款項) sum (of money) 3 [數學] (不用加、減號連接...
  • 誤差 : error
  1. Unit root tests on time series with garch - skew - t error term

    誤差項的時序的單位根檢驗
  2. In order to accurately analyze the error in the non - orthogonal coordinate measuring system, the circular cylindrical coordinate measuring system is discussed first and the formula of its number of errors is computed, and then it extends to the non - orthogonal coordinate measuring system of n dimensions arms of robots, and build its error compensation modal, which is proved to have high precision

    為了正確分析非正交坐標系機械繫統的情況,本文先以柱坐標系測量系統為例。分析了引起測量系統示值的各種機構。並且分析得出其誤差項數的計算公式,然後推廣到n維機器人手臂結構的非正交坐標系機械繫統,建立其補償的數學模型。
  3. An error compensation modal of non - orthogonal coordinate measuring system is built in this paper, in which completely new thought is taken out : using the natural coordinate system combined with the spherical coordinate system to analyze the errors of non - orthogonal coordinates measuring system, in the result, it makes things simpler and not only find out the number of errors and the factors resulted in the errors, but also build the error compensation formula completely, which perfects the study of non - orthogonal coordinate measuring system " s errors

    本文建立了非正交坐標系機械繫統的補償模型,提出了一種新的建模思想:在使用球坐標系的同時,巧妙結合自然坐標系。從而大大簡化了問題的難度,不僅正確地分析出非正交坐標系機械繫統的誤差項數、各誤差項的來源,還成功地建立了補償公式,完善了對于非正交坐標系機械繫統的研究。
  4. Under the condition that the error terms are i. i. d. the asymptotic behaviors of the conditional solution and unconditional solution of carr model are investigated in this paper

    摘要在誤差項獨立同分佈的條件下,本文討論了條件自回歸極模型條件解和無條件解的漸近性質。
  5. One of the important prerequisites for nn to approximate the nonlinear function f ( x ) is the states x of the system should be in a compact set. therefore, the unkown unlinear systems can be expressed by nn and a model error e ( x ), and there exists a positive constant 6 such that e ( x ) < 8. so the problem can be incorporated into robust adaptive control

    神經網路可以逼近非線性函數f ( x )的一個重要前提是x必須落入某一緊集s中,因此在一緊集u上,未知的非線性系統就可以用神經網路及一建模誤差項( x )表示出來,且存在一正的常數,使得( x ) ,從而這一問題可以歸結到魯棒自適應控制中。
  6. Since in many situations the error term is not normally distributed, it is important to know the asymptotic properties ( large sample properties ), i. e., the properties of ols estimator and test statistics when the sample size grows without bound

    由於在很多情形下誤差項可能呈現非正態分佈,了解ols估計量和檢驗統計量的漸近性,即當樣本容量任意大時的特性就是重要的問題。
  7. Three models are established first by linear regression analysis with the experiment data of practical ship plate. through comparisons between the three models obtained, the effect of each parameter on the local contraction, is examined, the conditions of application are estimated, and explanations are given to the error induced in the models obtained. 3

    首先選擇影響成型的主要變形參數,運用數理統計原理及逐步回歸分析方法,對945鋼板測試數據進行回歸分析,建立了三種變形參數的回歸模型,最後比較分析這三種回歸公式的回歸效果,考察回歸公式中各變形參數對變形量的影響程度,給出適用條件,分析誤差項產生的原因。
  8. In the late 30 or 40 years, many scholars have a lot of studies on a seemingly unrelated regression ( sdr ) system with two linear regression models, and some important results are obtained : zellner ( 1962 ) put forward two - stage estimator ( tse ) ; based on zellner " s, lin chun - shi ( 1984 ) obtained the sufficient and necessary condition of two - stage estimator ; chen chang - hua ( 1986 ) discussed the tse and its optimalities without any condition for designed - matrix x ; ulteriorly, wang song - gui and van li - qing ( 1997 ) obtained an iteration sequence of estimator by using the covariance - improved approach ; liu jin - shan ( 1994 ), li wen and lin ju - gan ( 1997 ) generalized the covariance - improved estimator respectively

    半相依回歸系統是由兩個誤差項相關的線性回歸方程組成的系統。近三、四十年來,已有很多的學者對這類半相依回歸系統進行了大量的研究,作出了十分重要的成果: zellner ( 1962 )提出了所謂兩步估計法;在其基礎上,林春士( 1984 )得出了兩步估計的充要條件,陳昌華( 1986 )討論了對設計矩陣不作任何要求的兩步估計及其優良性;進一步地,王松貴、嚴利清( 1997 )利用協方改進法獲得了參數的一個迭代估計序列,劉金山( 1994 ) ,李文、林舉干( 1997 )則分別對協方改進估計進行了推廣。
  9. ( 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已知時的貝葉斯均值控制圖和方未知時的貝葉斯均值?標準控制圖。
  10. First, the standard errors computed under the assumptionthat the error term is independent identical distribution will be biased. second, theassumption of independence is unlikely to satisfied. in the panel data analysis modelwith hierarchical structure, hierarchical effects, nested effects, time effects are seted. then the dissertation deduced parameter estimation and hypothesis test statistic andits probability distribution and analyze the hierarchical panel data set : eastern china, central china and western china are the top level, and the prc ’ s province, cities, and autonomous regions are bottom level

    然後針對目前面板數據分析過程中存在的兩方面問題,即一方面在利用面板數據模型進行分析時,標準的計算是基於誤差項相互獨立並且同分佈的假設,如果誤差項是相關的將會造成估計有偏的後果;另一方面關于獨立性這一假設本身就難以滿足;提出多層嵌套面板數據模型,設定了層效應、嵌套效應以及時間效應參數,研究了多層嵌套模型的參數估計量和假設檢驗統計量及其分佈。
  11. According to the mathematic modeling principle of physical problem, the error of lattice boltzmann model is analyzed in chapter 3. the nonlinear deviation term from the navier - stokes equation is given, and the main model coefficients, such as speed of sound, viscosity and so on, are verified by numerical computation, the results show that the lattice boltzmann method has second order precision in space and in time which satisfy the engineering application, whereas, the compressible effect ca n ' t be neglected along with mach number increasing, and must be reduced or eliminated

    其次,按照物理問題數學建模的原則,對格子法的進行了分析,給出了格子bgk方程再現navier - stokes方程時的壓縮誤差項,並數值驗證了格子模型的聲速及粘性系數等相關參數的精度,表明格子模型盡管具有時空二階精度,能滿足工程計算的要求,但隨著mach數增大,壓縮逐漸成為主要,必須予以消除。
  12. To see how serial correlation looks like, we need to plot error terms against time, if we know the error terms

    如果我們知道誤差項,為了看出序列相關的樣子,我們需要畫出它和時間的關系。
  13. 2. the characteristics of aigner - chu algorithm and probabilistic frontier are analyzed, the calculating process of aigner - chu algorithm is illustrated with an example

    文中還對管理誤差項的假設進行了系統模擬,並分析了模擬結果。
  14. In this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference

    摘要本文研究了誤差項是鞅序列,且滿足某種指數矩條件的非參數回歸函數的估計。
  15. In the data preprocessing step, by removing redundant data, dispersing inlet and outlet circle, offsetting the blade profile, data format is unified. in the case that measured profiles match theory profiles, each error item is attained by using appropriate arithmetic

    數據預處理部分經過葉片理論型線的冗餘點剔除,進、出汽邊圓弧離散以及理論型線的偏置等步驟,可實現理論型線與實測型線數據格式的統一;最後通過葉片的理論型線和實測型線重合度匹配等演算法得到實測葉片的各主要誤差項
  16. Weighted square integral mean value in an error term of generalized dedekind function

    函數誤差項的加權平方積分均值
  17. Mean value estimates of an error term related to the reciprocal of the dedekind totient function

    倒數有關的誤差項的均值估計
  18. The individual svm is prone to fail in the intrusion detection for the fragility of being attacked. this paper addresses a method using a support vector machines ensemble approach based on negative correlation learning for intrusion detection. using a correlation penalty term in the error function, the aggregate members can be accurate and diverse. and the evolutionary strategy is considered as the best way to automatically determine the individ. ual svms hyperparameters. at last we combine the results of all individual svms using ensemble technique. this distributed parallel detection can strengthen the robustness of the system. simulation results show the effectiveness of the method presented in this paper

    在入侵檢測中使用單個的支持向量機容易因"單點失效"而危害系統安全.提出一種基於支持向量機集成的方法來進行入侵檢測.它採用負相關學習技術,在誤差項中使用相關性懲罰因子使得生成的分類器有更好的多樣性和精度;演算法採用進化策略來自動地確定個體支持向量機的超參數,避免了需要了解問題的先驗知識;最後,採用集成技術來組合個體支持向量機的檢測結果.模擬實驗表明這一方法有更好的檢測性能,並且這種分散式并行檢測方法有利於增加入侵檢測系統的魯棒性
  19. Iteration scheme with errors for zero point of m - accretive mappings in banach space

    增生映射零點的帶誤差項的迭代格式
  20. Iterative approximation with mixed errors of solutions for accretive operator equations

    增生運算元方程解的具混合誤差項的迭代逼近
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