漸近正態的 的英文怎麼說

中文拼音 [jiānjìnzhēngtàide]
漸近正態的 英文
asymptotically normal
  • 漸 : 漸副詞（逐步; 漸漸） gradually; by degrees
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 正 : 正名詞（正月） the first month of the lunar year; the first moon
  • 態 : 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
  • 的 : 4次方是 The fourth power of 2 is direction
  • 漸近 : [數學] [物理學] asymptotic; approximation漸近操作（法） evolutionary operation; 漸近點 asymptotic...
  1. An edgeworth expansion of a sum of extreme values

    極值和的分佈的漸近正態展開
  2. A result on asymptotic normality for time series sum

    時間序列和漸近正態性的一個結果
  3. On the other hand, they play an important role in the theories of esfimation for regression function. in this paper, we mainly get the large sample properties for partitioning estiona - tion and modified its estimation. for example, we proved their asymptolic normaity under nuture conditions by means of mortingle theory ; we also get their strong consistency for regression function under censored samples ; and finaly we genearzed the result to dependence sample and have strong consistency for the modified partitioning estimation of regression function

    因此本論文研究了回歸函數基於分割估計及改良基於分割估計的大樣本性質，利用鞅的有關理論，在比較自然的條件下，證明了其漸近正態性；首次構造了截尾樣本的回歸函數基於分割估計及改良基於分割估計，並證明其強相合性；同時把有關結果推廣到相依樣本下（如混合） ，獲得了改良基於分割估計的強相合性及收斂速度。
  4. By taking repetitive observations in this paper, parametric estimators are obtained respectively in a simple structural ev linear model and a linear structural ev model with vector explanatory variables

    本文利用重復抽樣的方法，分別給出了簡單線性結構型ev模型和一般線性結構型ev模型中的參數估計，並討論了估計的強相合性與漸近正態性。
  5. In this paper, we give a kernel shape estimation of m ( x ) using variable bandwidth local linear refression approch, and discuss the asymptotic normality, the convergence rate of mean square and convergence rate with probability

    本文對上述模型，利用變窗寬局部線性回歸方法，給出了m （ x ）的核形估計，並討論了這一估計的漸近正態性、依概率收斂速度、和均方收斂速度。
  6. Asymptotic distribution of the product of trimmed sums

    一類截斷部分和乘積的漸近正態性
  7. Asymptotic normality for parameter estimation of ornstein - uhlenbeck process

    過程參數估計的漸近正態性
  8. Asymptotic normality for semiparametric functional relationship models

    關於半參數函數關系模型的漸近正態性
  9. The asymptotic normality of the extreme - value index of extended moment estimator

    極值指數之推廣矩估計量的漸近正態性
  10. Asymptotic normality of pseudo - ls estimator of error variance in partly linear autoregressive models

    部分線性自回歸模型中誤差方差偽最小二乘估計的漸近正態性
  11. Asymptotic normality of multi - dimension quasi - maximum likelihood estimate in generalized linear models with adaptive design

    自適應設計廣義線性回歸多維擬似然估計的漸近正態性
  12. The limit distributions of estimators and likelihood ratio test are given, the strong consistency of estimators is also proved

    證明估計的強相合性和漸近正態性，給出似然比檢驗統計量的極限分佈，並討論基於精確分佈的檢驗問題。
  13. Abstract : the sample breakdown point of a test is defined as the smallest proportion of arbitrary outlier in the sample that reverses the test decision. in this paper, wegive the sample breakdown point of a test for maximum likelihood estimate of exponential distribution parameter and analyze the asymptotically normal characteristic of the sample breakdown point

    文摘:如何量化一種統計方法對異常值的不敏感性一直是穩健統計研究的一個重要課題.檢驗的樣本崩潰點是樣本中能逆轉判決的離群值的最小比例.在研究相關文獻的基礎上，計算出指數分佈參數極大似然估計檢驗的樣本崩潰點，並分析了樣本崩潰點的漸近正態性，為量化統計方法的穩健性提供了一種新的途徑
  14. In this paper, the limit theory is discussed and the main problems are solved as followed : 1. we will obtain asymptotic normality and consistency of mle for agarch model introduced by wu shuosi and fang zhaoben ( 2000 ). 2

    對于吳碩思和方兆本（ 2000 ）提出的非對稱廣義自回歸條件異方差新模型，證明了它的極大似然估計（ mle ）的漸近正態性和相合性。
  15. The definition of the maximum likelihood estimator with the prior information ( pmle ) is given in this paper, and the consistency and asymptotic normality of pmle are proved

    摘要定義了有先驗信息的極大似然估計，它能夠充分利用參數的先驗信息，還具有正規條件下的相合性和漸近正態性。
  16. About weibull distribution, we also obtain the limit distribution of total test time and construct the pivot

    對于weibull分佈場合，本文同樣給出了總試驗時間的漸近正態分佈，構造了樞軸量。
  17. In the case of lognormal distribution, we obtain the limit distribution of the sum of the logarithm of every sample ' s test time, and construct the pivot

    對于對數正態分佈場合，本文給出了樣品試驗時間對數和的漸近正態分佈，構造了樞軸量。
  18. The necessary and sufficient conditions of some kinds of pickands estimators asymptotic to normality had been derived in this paper under some general conditions

    本文系統地研究了幾類pickands估計量的漸近性質，在較弱的條件下得到了它們漸近正態分佈的充要條件。
  19. As to normal distribution, we find the pivot, which we get from the limit distribution of total test time, is approximate with the one from the case of lognormal distribution

    對于正態分佈場合，本文給出了總試驗時間的漸近正態分佈，利用對數正態場合的結果得到參數的近似置信域。
  20. In first chapter, we define the first stage estimators for 0 and g by using kernel weight function, least square and two stage estimation under the additivity of the model, and then the paper proves that is the consistency and the approximate normal distribution, and is the consistency and the uniform consistency

    第一章首先綜合核函數法，最小二乘法，基於模型的可加性，利用二階段估計的方法求出， g的第一階段估計量，然後證明了的強相合性與漸近正態性， g _ n ~ *的強相合性和一致強相合性。
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