方差分子估計 的英文怎麼說

中文拼音 [fāngchāfēnzigūjì]
方差分子估計 英文
estimating components of variance
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 分 : 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
  • 子 : 子Ⅰ名詞1 （兒子） son 2 （人的通稱） person 3 （古代特指有學問的男人） ancient title of respect f...
  • 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. Its biquadratic finite element approximation is considered and under the appropriately graded meshes, quasi - optimal order error estimates in the - weighted h ^ 1 - norm, up to a logarithmic factor in the singular perturbation parameter, are proved

    然後，考慮此方程在分層網格剖分上的雙二次有限元逼近，在-加權h ^ 1 -模意義下得到了至多相差一個關于攝動參數對數因子的擬最優階收斂的誤差估計。
  2. The main characteristics and advantages are : on one hand, we adopted the low - complexity bussgang algorithm, and did blind estimation to ofdm sub - channel according to the mean square error criterion ( mse ) and peak distortion criterion ; on the other hand, we used the differential detection, which accelerates the convergence speed and avoid the error transmission problem resulted from the bussgang algorithm

    這兩種演算法一方面採用了低復雜度的bussgang自適應演算法，分別依據均方誤差準則和峰值失真準則對ofdm系統子通道進行盲估計；另一方面通過引入差分檢測技術，加快了演算法收斂速度，克服了bussgang演算法帶來的誤差傳播問題。
  3. It ' s unable to estimate the dispersion effects. in this paper, we consider a model of heterscedasticity, and present a new algorithm on the basis of hamada and wu ( 1991 ) ' s iterated algorithm on estimation of location effects, combining brenneman and nair ( 2001 ) ' s mh method on estimation of dispersion effects. this algorithm of model selection and simutanious estimation of location and dispersion effects analyze unreplicated factorial experiments with censored data

    本文考慮試驗點是異方差的模型，在hamada和wu （ 1991 ）位置效應分析方法的基礎上，將brenneman和nair （ 2001 ）散度效應分析的mh方法融入其中，對帶有截尾數據的無重復因子試驗給出了模型選擇以及同時估計位置效應和散度效應的迭代演算法，改進了hamada和wu的方法。
  4. First, this paper gives an introduction of some methods of unequal probability sampling, their estimators and variance estimators, including sampling with pps with replacement, methods of sampling without replacement suggested by brewer, durbin, sampford, des raj, murthy, rao - hartley - cochran. then, at the basis of rao and bayless ' s study, we consider that population can be splited two random subpopulations, which are respectively drawn from different infinite super - populations, and compare the stabilities of estimators of the methods that given above. we find that the minor difference between two super - populations has great effect on the efficiency of the estimators for the population with moderately large coefficient of variation ( c. v. )

    本文首先從理論上介紹了若干種不等概率抽樣方法，它們的估計量、估計量的方差及其估計，其中包括有放回ppz及pps抽樣，不放回不等概率抽樣中的brewer 、 durbin 、 sampford 、 desraj ， murthy 、 rao - hartley - cochran等人的方法；其次，在rao和bayless兩人就樣本單元數n = 2的情形對上述抽樣方法進行比較的基礎上，將總體隨機地分成兩個子總體，視每個子總體取自不同的線性超總體，在文中，我們利用計算機實現隨機分組，並通過畫圖比較各方法估計量的穩定性，結果表明，對變異系數c . v . （ x ）較大的總體而言，兩個超總體之間的微小差異將對估計量的穩定性產生很大的影響，從而說明rao和bayless的比較結果還不夠完善。
  5. The error of the calculation methods used in this paper is estimated by comparing the calculation results of ge, gap, gaas arid inp with their experimental results. the error due to ignoring the lattice aberration causing by substitutional atoms is also discussed. the way to increase the accuracy is discussed

    通過比較ge 、 gap 、 gaas和inp的計算結果和實驗結果之間的差別，對該方法的計算誤差進行了估算，分析了由於忽略雜原子取代所導致的晶格畸變產生的誤差，並提出了解決辦法。
  6. 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。
  7. 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。
  8. First, the thesis introduces the definitions and the attributes of the higher - order statistics. it is insensitive to additive gaussian noise ( white or colored ), which is what we base on to doa problems. then two doa estimation algorithms based on higher - order statistics are presented, one is that forming cumulant matrix pencil used in esprit to estimate doa problems, the other is spectrum estimation method for doa estimation based on the eigenstructure analysis of the fourth - order cumulant, and comparing the effects of the estimation to conventional covariance - based doa algorithms "

    論文首先對高階統計量的定義和性質作了介紹，特別指出了高階統計量對加性高斯噪聲（白色或有色）不敏感，這是我們利用它進行波達方向估計的理論依據，然後文中提出了兩種基於高階統計量的波達方向估計方法，一種是利用子空間旋轉不變技術構造四階累積量矩陣進行估計的方法，另一種是基於四階累積量陣特徵分解的空間譜估計測向方法，並將它們的估計效果與傳統協方差方法的效果進行比較。
  9. This method constructs covariance matrix by utilizing data vectors in different range lines and projects phase error vector into noise sub - space which is formed by eigendecomposing the covariance matrix

    該方法利用不同距離單元的觀測矢量構造協方差矩陣，然後通過對協方差矩陣特徵分解得到噪聲子空間，最後將相位誤差矢量向噪聲子空間投影來估計多普勒調頻率。
  10. All of work above can work as the basic knowledge for further research for operating characteristics and simulation, the detecting principle and implementing method with sensor as the means for requirement of information about rotor position are described. next, a novel inductance method and rotor position angle estimation using fuzzy logic are studied. in this dissertation, some knowledge about error signals are detailed, at the same time, some rese arch for improving precision is also provided

    通過分析有位置傳感器的檢測原理和實現方法，重點研究了兩種無位置傳感器轉子位置檢測方法：一是採用改進電感法（閥值電感法）的轉子位置檢測方法，並設計了實現方法；二是基於模糊推理規則的轉子位置估算方法，針對此方法中誤差信號進行分析，研究提高角度估算精度的策略和方法。
  11. These results gave us a rough estimate about the computation of biomolecular by using the gaussion03. we have known about the incidence of gaussion03 on computating by the way of division

    這些結果給出了一個近似的估計，即用gaussian03計算生物大分子時，用分割計算的方法產生的斷口誤差范圍有多大。
  12. With explicit runge - kutta methods for particle tracing, richardson extrapolation and re - integration ( with a smaller tolerance ) are used to estimate global error of the tracing path. the methods of visualizing error are also described

    針對顯式runge - kutta法的粒子跟蹤，採用richardson外推、改變單步誤差容限重復積分等方法對誤差作出了估計，並實現了誤差的可視化。
  13. Firstly, we estimate the variance and the mean of each cell with maximum likelihood ; secondly, we identify the important dispersion effects based on least squares analysis of the logarithm of within - replication variance ; last, we identify the important location effects based on weighted least squares analysis of the mean of each cell. a simulation study also demonstrates its superiority over some existing methods. an experiment for the robust design of thermostat is used to illustrate the method

    本文對帶有右截尾數據的有重復因子試驗，提出了另一種分析位置效應和散度效應的方法：首先，在每一個試驗點，對重復試驗觀察值用極大似然法估計出均值和方差；其次，用每個試驗點方差估計值的對數作為響應變量與各因子建立回歸模型，鑒別出顯著的散度效應；之後，採用加權最小二乘法鑒別出比較顯著的位置效應。
  14. Firstly the fringe is subdivided properly, then we get the estimated phase in subdivided regions based on the wavelet method and minimum mean errors estimates method

    首先對干涉圖象進行適當的分塊，然後通過線性相位模型對每個子塊的相位進行擬合；擬合系數通過干涉圖象分塊的小波變換與最小均方誤差估計方法獲得。
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