regression estimation 中文意思是什麼

regression estimation 解釋
回歸估計
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • 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。
  1. Edgeworth expansion of random weighting estimation in semi - parametric regression model

    半參數回歸模型隨機加權估計的漸近展開
  2. In order to improve the efficiency of classification based on feature matching, the method of azimuth estimation from sar image is studied. a method of target ' s azimuth estimation from sar image using peak featur e based on linear regression is proposed, besides goodish estimation accuracy and high computation efficiency, it can also provide the confidence interval of the estimation, which can meet the need of model - based sar atr system that uses feature very well

    為了提高基於特徵匹配的saratr系統的分類效率，論文進一步研究了sar圖像目標方位角估計方法，提出了一種利用峰值特徵基於線性回歸的sar目標方位角估計方法，該方法除了具有計算速度快、估計精度較高的特點之外，還能在估計方位角的同時，給出該估計的置信區間，從而能更好地滿足利用特徵基於模型saratr系統的需要。
  3. Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure

    文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計，用牛頓-拉普森演算法估計回歸系數，用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性
  4. The superiority of generalized ridge estimation of regression parameter in growth curve model under pitman closeness criterion

    準則下生長曲線模型回歸參數陣廣義嶺估計的優良性
  5. In order to improve adaptability and robustness of algorithms, we present another toa / tdoa data fusion algorithm based on support vector machine regression for radiolocation. then we test the capability of location estimation algorithm in distinct channel environments, the results suggest that the location precision within 100m is accessed with 67 % probability by this method

    為了提高定位演算法的健壯性和自適應能力，論文提出了一種基於支持向量回歸（ svr ）對toa / tdoa進行數據融合的方法，並對演算法在不同的通道環境下的定位性能進行了模擬。
  6. We make the following assumption for when 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of least squares estimate have been discussed in many documents. considered 2 is nonnegative definite matrix, this thesis derives best linear unbiased estimate of parameter matrix b and estimable parameter function kbl under the meaning of matrix nonnegative definite and the property of maximum probability of blue is investigated. next, we discuss some necessary and sufficient conditions of the equality of the lse and blue, then we derive the estimation of the deviation bet - ween the least squares and the best linear unbias estimators of the mean matrix, meanwhile a relative efficiency of lse ofb is proposed and its bound is given

    當0時，眾多文獻討論了回歸系數陣的各種估計及lse的有效性，本文考慮了當0的情形，給出了回歸系數陣b及其可估參數函數kbl的在矩陣非負定意義下的最優估計（ blue ） ，研究了它的一個最大概率性質，並且討論了最小二乘估計成為最佳線性無偏估計的充分必要條件，在此基礎上給出了均值矩陣的最小二乘估計與blue的偏差估計，定義了lse相對于blue的一個相對效率，並給出了它的界。
  7. Parameter estimation of a regression model under censored data

    刪失數據下一類回歸模型的參數估計
  8. Estimation for a class of semiparametric regression model with censored data

    截尾數據下一類半參數回歸模型的估計
  9. 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。
  10. In this paper, we use nonparametric regression method in chinese financial time series, we also use both kernel regression after improving cross - validation function and local polynomial estimation of regression under mixing condition to study and analyze the volatility in chinese stock market

    在本文中，我們把非參數回歸的方法運用到我國實際的金融時間序列數據之中，討論了我國股價指數收益率序列的易變性。而在用非參數回歸進行估計時，選擇合適的窗寬有著重要的意義。
  11. A regressive prediction model containing recursive kernel regression estimation

    一種包含遞歸的核回歸估計的回歸預測模型
  12. By applying generalized svm and least square svm of classification to regression estimation problem, fuzzy generalized weighted svm and fuzzy multiplayer least square generalized svm are proposed. 3

    把針對分類問題的廣義svm及最小二乘廣義svm用來處理回歸估計問題，並和模糊svm結合起來形成了基於模糊加權的廣義svm和基於模糊的多層最小二乘廣義svm 。
  13. Fuzzy svms for regression estimation are developed in chapter 2

    針對回歸估計問題提出了模糊svm 。
  14. ( 3 ) the performance of support vector machine ( svm ) for regression estimation was studied

    （ 3 ）支持向量機（ svm ）的參數對其回歸估計性能有很大影響。
  15. In this class we describe support vector machines for regression estimation and illustrate the connection between svms and basis pursuit de - noising

    課中將敘述支持向量機的回歸估演算法並舉例說明支持向量機和基礎追蹤去雜訊法之間的關系。
  16. For the regression estimation when the auxiliary variate is correlated with the disturbance, the bias and mean square error ( mse ) of the regression estimator are obtained, and the estimator of the mse is presented

    摘要討論了輔助變量與擾動項相關條件下的回歸估計，給出了在這種條件下回歸估計量的偏差和均方誤差以及均方誤差的估計。
  17. Svm, developed from that theoretical architecture, is a highly adaptive method, which is applied in the areas of pattern recognition, regression estimation, function approximation and density estimation

    在這一理論基礎上發展了一種新的通用學習方法一支撐向量機svm 。它是一種普遍適用的方法，已經廣泛的用於模式識別、回歸估計、函數逼近、密度估計等方面。
  18. In this paper, an integral scheme of 16 position error calibration and autonomous alignment for three axis platform is given. it may calibrate 33 errors in all. first, determine parameters with least square estimate, then bayes method, ridge regression estimation were discussed separately

    本文設計了一個十六位置誤差標定方案，可以分離出總計33項誤差，首先用最小二乘估計方法進行參數辨識，而後，分別研究了基於bayes方法的誤差系數辨識，基於嶺估計的誤差系數辨識。
  19. Since the range estimation is very important in the power system, after monte - carlo simulation method for the ranks is presented in this paper, and using binomial regression estimation to finish the three parameters range estimation. finally, the flowchart and the example of application of the three parameters range estimation is accomplished

    由於區間估計在工程應用中更具有實際意義，本文提出了採用monte - carlo模擬法估計出分位秩后，再進行二項式回歸處理來實現三參數區間估計的新方法，並用此方法實現了三參數的區間估計，同時給出了三參數區間估計的程序框圖和應用實例。
  20. Chapter 4 introduces the use of weighted least square generalized svm for optimal control systems. weighted least square svm for robust regression estimation is generalized and then used to solve n - step optimal control problem based on the svm. the weights are determined by fuzzy method

    4 .加權ls一svm可以對回歸估計問題實現魯棒估計，把它同基於ls一svm的n步最優控制想法相結合，將其擴展到基於加權最小二乘廣義svm ，並應用於n步最優控制問題，確定加權因子採用了模糊運算的辦法。
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