estimation of variance 中文意思是什麼

estimation of variance 解釋
估計方差
  • estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
  • of : OF ＝Old French 古法語。
  • variance : n. 1. 變化，變動，變更；變度，變量；【統計】（平）方（偏）差。2. （意見等的）相異；不和，沖突，爭論。3. 【法律】訴狀和供詞的不符。
  1. Then discusses its properties, such as biased property, relative efficiency of generalized variance and superiority comparisons between generalized ridge estimation and generalized least squares estimation. shows iterative algorithm based on the mean dispersion error

    該估計雖然具有偏崎，但其估計精度具有良好的性質，如：有偏性、方差一致最優性、相對于廣義最小二乘估計的廣義方差效率、 mde ? ?有效性等。
  2. Variance and covariance components of each effect were estimated by minimum norm quadratic unbiased estimation ( minque ) method

    用minque法估計各項效應的方差和協方差分量，用aup法預測隨機效應。
  3. The differences on resolution capability and the performance of estimation between beam - space processing and element - space processing are analyzed. transforming matrices are designed for the consideration of depressing the resolution threshold and estimation variance

    分析比較了波束域處理與陣元域處理的分辨能力以及估計性能，並從降低分辨門限和估計方差角度考慮，給出了轉換矩陣的構造方法。
  4. Tricepstrum equalization algorithm ( btea ) and super - exponential ( se ) algorithm based on block data estimation is studied, and these algorithms use hos explicitly. their performance, such as estimation variance and bias, is analyzed. a kind of sparse cross cumulant and sparse equalizer is proposed to simplify the se algorithm, and the simulating results show efficient reduction in complication

    ?研究了幾種直接使用高階統計量的演算法，包括基於數據段估計的倒三譜演算法和超指數演算法，分析了演算法的估計方差和偏差等性能；由於超指數演算法計算量較大，不利於實時均衡，利用水聲通道的稀疏性，提出了一種基於稀疏互四階累積量和稀疏權的演算法，有效降低了超指數演算法的計算量。
  5. For a general linear model ( input matrix is deterministic ), under a certain conditions on variance matrix invertibility, the two estimates can be identical provided that they have the same priori information on the parameter under estimation. even if the above information is unknown only for the optimally weighted ls estimate, the sufficient condition and necessary condition, under which the two estimates are identical, is derived. more significantly, we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information

    在一般線性模型（即輸入矩陣為確定性）下，當兩種估計都利用有關被估參數的先驗信息時，二者在方差陣可逆的一定條件下可達到一致；當最優加權最小二乘估計不利用此先驗信息時，存在二者一致的充分條件和必要條件，進而找到一種設計輸入矩陣的方法，使得在先驗信息缺乏的條件下，仍可利用最優加權最小二乘估計達到與線性最小方差估計一樣優越的估計性能。
  6. Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed

    摘要基於線性無偏最小方差估計理論，提出了一種任意相關雜訊線性系統非同步狀態向量融合演算法。
  7. Methods of psf and noise variance estimation are proposed for practical restoration and thanks to them a real defocus image is perfectly restored

    在此基礎上，對一個實際的模糊圖像進行了恢復處理並取得了良好的效果。
  8. 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。
  9. We propose an algorithm, which integrate the shift invariance of redundant discrete wavelet transformation ( rdwt ) and the flexibility of multi - resolution motion estimation, to overcome the shift variance of dwt and get the precise motion vector. under the different code parameter, we take the proposed algorithm compared to several present algorithms, and experiment results have shown that proposed algorithm could leave less energy in the residual frames, get more precise motion vector and better reconstructed frames

    文章最後在不同的編碼參數下，將所提演算法與兩種傳統小波域運動估計演算法作比較，根據實驗所得數據分析，發現所提演算法在性能上要優于另外幾種演算法，具體體現在運動估計后所得殘差幀能量更小，重構幀客觀與主觀質量更高。
  10. Application of statistical. estimation of a mean unknown variance

    統計學應用.平均值的計算未知方差
  11. A real - time estimation of a prior variance - covariance of gps observations is developed for the ( near ) instantaneous ambiguity resolution for short - baselines, which improves the stochastic model of the observations, and then the success rate and the reliability of ambiguity resolution

    針對短基線模糊度的快速解算，提出了一種實時估計觀測值方差-協方差矩陣的方法，改進了觀測值的統計模型。算例顯示這種方法能提高模糊度瞬時解算的成功率。
  12. Application of statistical. estimation of mean known variance

    統計學應用.平均值的計算已知方差
  13. Application of statistical. estimation of a variance standard deviation

    統計學應用.一組方差的評估標準偏差
  14. Bayesian estimation of variance factor in the nonlinear model

    非線形模型方差的貝葉斯估計
  15. The cyclic estimation approaches of chirp signals in additive nose or multiplicative noise are proposed, it presents a way for the parameters estimation of zero mean amplitude chirp signals. the estimation performances in the additive noise or multiplicative noise are analyzed by the first order perturbation analysis method, and the error variance expressions of the parameters estimation under large samples are derived

    針對加性噪聲情況及存在乘性噪聲的情況，提出了線性調頻信號參數的循環平穩估計方法，解決了零均值乘性噪聲的信號參數估計問題，並採用一階擾動分析方法，對兩種噪聲情況下的估計性能進行了分析，推導出了各參數的估計誤差方差公式。
  16. Estimation of the unit weight variance in nonlinear model adjustment

    非線性模型平差中單位權方差的估計
  17. Extension of the uniformly minimum variance unbiased estimation of a class of multivariate linear model

    一類多元線性模型的一致最小方差無偏估計的推廣
  18. Panel data model is an important linear model in economics, finance, biology, medicines and other fields. in recent twenty years, statistical in - ferrence about this model attracts many statisticians. in this paper, we first generalize the latest development of parameter estimation in this field, then focus on parameter estimation in the panel model with individual effect and time effect. many articles researched the parameter estimation of the regression coefficents in the case that both individual effect and time effect are random, but in some conditions, it is more reasonable if we suppose either of them is fixed. this paper is based on this hypothesis to research the estimations of the coefficents. the variance - covariance matrix still include parameter of variance in this condition, so our purpose is to look for feasible estimations

    Panel數據模型是一類具有重要應用的線性統計模型，它在經濟、金融、生物、醫學等領域都有廣泛的應用。近二十余年來，關于這種模型的統計推斷吸引了很多統計學家。本文首先概述了這一領域參數估計方面的最新發展，然後集中討論了既含有個體效應，又有時間效應的panel數據模型的參數估計。
  19. The estimation of regional anomaly is obtained under the conditions of linear, u nbiased and minimum variance of estimation

    從重（磁）觀測數據中減去區域異常就可得到局部異常，這就是泛克立格法。
  20. Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented

    基於此，本文針對多傳感器數據融合技術在機動目標狀態估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計模型中加速度極限值的預先設定對于濾波效果影響的分析，利用目標機動狀況與相鄰采樣時刻間位置估計量變化之間的函數關系實現噪聲方差自適應，進而提出了一種修正的模型，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。
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