regression matrix 中文意思是什麼

regression matrix 解釋
回歸陣
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • matrix : n （pl matrices 或matrixes）1 【解剖學】子宮；母體；發源地，策源地，搖籃；【生物學】襯質細胞；間...
  1. 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。
  2. 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
  3. On the other hand, the method of multivariate linear regression analysis is used to deduce the relevant matrix between element analysis and of industry analysis coal. then a new calculation model of boiler efficiency by use of industry analysis data is established

    同時採用多元線性回歸方法，建立了煤的元素分析成分與工業分析結果的關聯矩陣方程，從而獲得以工業分析為基礎的鍋爐效率計算的新模型。
  4. The two - stage method, including the weighting matrix important for the stage - two regression, is discussed detailedly in the paper. 4. analysis of the attenuation law of ground motion energy

    本文對兩步回歸法做了詳細的論述，尤其對第二步回歸分析時的加權矩陣做了細致的分析，並編制了計算程序。
  5. It is important to apply influence analysis, computing of correlation - conefficient and charactrestic value of the design matrix and ridge regression to set models. the quality of model is developed

    數據分析：影響分析和設計矩陣的相關系數和特徵值計算及嶺回歸技術的應用對改進模型的品質起到了重要作用。
  6. Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors, 21 500hpa height predictors ) with over 0. 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field, and selecting the high relative principal components, at the same time, a new approach of constructing ann learning matrix is developed. predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples

    本文通過對廣西北部6月平均降水量（預報量）同北半球月平均500hpa高度場和北太平洋月平均海溫場進行相關普查，選取了前期36個同預報量相關顯著水平達到0 . 05以上的預報因子（ 15個海溫場預報因子， 21個高度場預報因子） ，並運用自然正交函數展開方法對這36個前期預報因子展開，取其中同預報量相關程度高的主成分，結合人工神經網路技術，提出了一種新的構造人工神經網路學習矩陣的方法，建立了一種新的短期氣候預測模型。
  7. In the late 30 or 40 years, many scholars have a lot of studies on a seemingly unrelated regression ( sdr ) system with two linear regression models, and some important results are obtained : zellner ( 1962 ) put forward two - stage estimator ( tse ) ; based on zellner " s, lin chun - shi ( 1984 ) obtained the sufficient and necessary condition of two - stage estimator ; chen chang - hua ( 1986 ) discussed the tse and its optimalities without any condition for designed - matrix x ; ulteriorly, wang song - gui and van li - qing ( 1997 ) obtained an iteration sequence of estimator by using the covariance - improved approach ; liu jin - shan ( 1994 ), li wen and lin ju - gan ( 1997 ) generalized the covariance - improved estimator respectively

    半相依回歸系統是由兩個誤差項相關的線性回歸方程組成的系統。近三、四十年來，已有很多的學者對這類半相依回歸系統進行了大量的研究，作出了十分重要的成果： zellner （ 1962 ）提出了所謂兩步估計法；在其基礎上，林春士（ 1984 ）得出了兩步估計的充要條件，陳昌華（ 1986 ）討論了對設計矩陣不作任何要求的兩步估計及其優良性；進一步地，王松貴、嚴利清（ 1997 ）利用協方差改進法獲得了參數的一個迭代估計序列，劉金山（ 1994 ） ，李文、林舉干（ 1997 ）則分別對協方差改進估計進行了推廣。
  8. Chapter 5 is focused on the studies on the equivalent conditions for maximum value convergence of sums of independent random matrix sequences, and the sufficiency condition of the strong consistency of m estimator of regression parametric in linear model for negatively associate samples, thus enriching and strengthening the results of a series of papers

    第五章得到了獨立陣列和（含加權和）的最大值完全收斂的等價條件，從而豐富和強化了前人的一系列結果獲得了負相關樣本線性模型中回歸參數m估計是強相合的較弱的充分條件
  9. The least square estimate of the regression coefficient matrix in the extension of the growth curve model

    推廣增長曲線模型中回歸系數陣的最小二乘估計
  10. Parametric estimation based on robust scatter matrix in semiparametric regression model

    半參數回歸模型中基於穩健散布陣的參數估計
  11. Linear regression model with elliptically symmetric errors and unknown dispersion matrix was discussed

    摘要討論了協方差陣未知的橢球等高線性模型中的穩健性問題。
  12. 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。
  13. A general proof of consistency of the ols estimators from the multivariate regression case can be shown through matrix manipulations

    多元回歸中ols估計量的一致性的證明可以通過矩陣運算得到。
  14. The main results are as follows : according to the approximate multicollinearity of matrix, the third chapter constrains the regression coefficient and obtains generalized ridge estimation of the linear model ' s parameter under the ellipsoidal restriction

    主要結果如下：論文第三章從設計矩陣的多重共線性角度出發，考慮回歸系數的橢球約束，獲得了橢球約束下線性模型參數的一種新型估計- -廣義嶺型估計。
  15. It will present a new method - frequency - domain regression ( fdr ) method based on system identification theory for calculating transient heat flux through multi - layer walls. first, the frequency characteristics of the total transmission matrix are calculated within the frequency range concerned. then, a simple polynomial 5 - transfer function is yielded from the theoretical frequency characteristics for internal, cross and external heat conduction by applying appropriate identification algorithm, respectively

    首先在所關心的頻域范圍內計算出總的傳遞矩陣的頻率響應，然後採用適應的辨識演算法從墻體不穩定傳熱的理論頻率響應中構造出一個簡單的多項式s -傳遞函數，該多項式s -傳遞函數與墻體瞬時傳熱的理論的超越s -傳遞函數完全等價。
分享友人
分享到 Line

分享到臉書