極大似然估計 的英文怎麼說

中文拼音 [jídàsìrángūjì]
極大似然估計 英文
maximum likelihood estimate
  • 極 : i 名詞1 （頂點; 盡頭） the utmost point; extreme 2 （地球的南北兩端; 磁體的兩端; 電源或電器上電流...
  • 然 : Ⅰ形容詞（對; 不錯） right; correct Ⅱ代詞（如此; 這樣; 那樣） so; like that Ⅲ連詞[書面語] （然而）...
  • 估 : 估構詞成分。
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 估計 : estimate; evaluate; take stock of; size up; calculate; appraise; reckon; estimation; forecast
  1. Application of maxi - likelihood estimation method in analysis of high voltage circuit breaker

    極大似然估計法在高壓斷路器可靠性分析中的應用
  2. A modificatory mle model has been put forward to reduce the estimate error of reliability characteristic parameter in case of the little fail data

    本文提出一個極大似然估計（ mle ）的修正模型（ mmle ） ，以減小採用mle在小子樣情況下可靠性特徵量的估計誤差。
  3. Recently, when a. dmitrienko ( 2000 ) [ 5 ] constructed the sequential confidence regions for maximum likelihood estimates, they put forward a new asymptotic property : bounded cost of ignorance, that is lim ( en ( d ) - n ( d ) ) <. it ' s an asymptotic property which is worthy of consideration

    最近， a . dmitrienko （ 2000 ）在構造極大似然估計的序貫置信區域時，提出了一個新的漸近性質：未知代價的有界性（ boundedcostofignorance ） ，即這是一個很值得考慮的漸近性質。
  4. Exact distribution of mle of the regression coefficient matrix in a growth curve model

    生長曲線模型中回歸系數陣的極大似然估計的精確分佈
  5. For computation of the unknown parameters ' mle, the em method is applied ; and the number of components is determined by using the gap statistics

    為得到未知參數的極大似然估計，採用了em方法，而子總體數是利用隙統計量確定的。
  6. In the main theorem, we obtained the error bound between the maximum likelihood estimator and the true parameter

    使用這個不等式和概率論的方法，我們得到了參數的極大似然估計的誤差界這一主要定理
  7. Furthermore, utilizing the characteristic that filtering error covariance expresses filtering precision and the principle of information conservation, the dynamic and reasonable distribution of distributed tracks weight coefficient is accomplished. jerk model and strong tracking filter is organically assembled, and based on spatio - temporal synthetically analysis and lme, a self - learning estimation method of the system measurement variance is given. the method improves obviously the

    3 、將jerk模型與強跟蹤濾波演算法有機地結合，並利用時空綜合分析和極大似然估計的思想推導出了一種系統量測方差自學習修正方法，以優化強跟蹤濾波演算法中次優漸消因子和濾波增益的在線選擇，同時根據多傳感器數據融合具有改善濾波精度的性質，進而給出一種基於jerk模型的多傳感器數據融合演算法。
  8. There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc. music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated

    空間譜估計的演算法大致分兩大類:一是基於極大似然估計和最大后驗概率估計統計理論的演算法，包括:極大似然估計法（ ml ） 、最大熵法等;另一類是基於對協方差矩陣進行子空間分解或投影的演算法，包括:矢量特徵法、多重信號分類法（ music ） 、投影矩陣法等。其中， music法是一種經典的空間譜估計主流演算法，具有超強的分辨性能，但它無法實現對相干信號進行測向分辨。
  9. The ml algorithm can be used for the doa estimation of correlated signals, but it has a huge computational load

    極大似然估計演算法能夠對相干信號源進行測向估計，但其運算量過于龐大，阻礙演算法在實踐中的應用。
  10. 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
  11. 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。
  12. 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。
  13. Maximum likelihood estimation in the simple step - stess accelerated life testing based on grouped data

    分組數據下簡單步進應力加速壽命試驗的極大似然估計
  14. Parameter estimation of the weibull distribution tampered failure rate model under a normal stress

    分佈步進應力加速壽命試驗損傷失效率模型參數的近似極大似然估計和逆矩估計
  15. Some remarks on mle and test of likelihood ratio

    極大似然估計與似然比檢驗的幾點注記
  16. Strong consistency and asymptotic normality of maximum likelihood estimates

    廣義線性回歸極大似然估計的強相合性
  17. Weak consistency of quasi - maximum likelihood estimates in multivariate generalized linear models

    多維廣義線性模型擬極大似然估計的弱相合性
  18. A batch least - squares maximum likelihood estimator is employed to calibrate the model coefficients of accelerometer and a polynomial post - fit method is used to establish temperature models of these coefficients. the temperature models of accelerometer bias and scale factor of accelerometer are established between - 20oc and 50 oc. after compensating the temperature error by using these models, the post - fit residuals of the accelerometer output have been improved to 10 ? 5 g, and the trend term of accelerometer changing with temperature basically vanished

    採用最小二乘極大似然估計和多項式擬合的方法，分析加速度計靜態模型系數隨加速度計殼體溫度變化的規律，建立了- 20oc 50oc之間加速度計零偏和標度因數誤差的溫度模型，應用該模型對加速度計溫度干擾進行補償，補償后，加速度計輸出的擬合均方根誤差一到二個數量級，並且基本上消除了加速度計輸出隨溫度變化的趨勢項，使得加速度計測量精度得到了明顯提高。
  19. By combining the chirpogram and the mean likelihood estimation with mrkov chain monte carlo technique, it is shown that accurate estimates can be obtained for chirp signals

    此方法將均值似然估計和調頻圖應用於mcmc中，避免了極大似然估計中的積分運算和多維搜索，減少了計算量。
  20. The eb estimation of scale - parameter for the two - parameter exponential distribution under the type - censoring life test

    分佈參數的極大似然估計及貝葉斯估計
分享友人
分享到 Line

分享到臉書