least-squares regression 中文意思是什麼

least-squares regression 解釋
最小二乘回歸法
  • least : adj （little 的最高級，比較級為 less 或 lesser）1 最小的，最少的 （opp most）。2 最不重要的，地位...
  • squares : 方鋼
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  1. For a set of gasoline samples, multivariate linear regression ( mlr ) and partial least squares ( pls ) calibration models are built to predict research octane number ( ron )

    針對一批實際生產裝置的汽油樣品，採用近紅外光譜定量分析中常用的多元線性回歸（ mlr ）與偏最小二乘（ pls ）方法，建立了汽油研究法辛烷值nir光譜預測模型。
  2. We select ni / cr alloy resistor as element together with ceramic embedding hearth ; select small flat - and - disc heat - even hubby ceramic sample holder, select ni / cr & ni / si thermoelectric couple ( type k ) as thermoscope with threads 0. 5 mm in diameter which is installed in the middle of the holders symmetrically ; select aluminum silicate fire - retardant fiber as materials for heat preservation ; design some hardware, for example temperature controller & transporter, signal amplifier etc ; design controlling curve to heat stove ; and introduce the method of least squares nonlinear regression and subsection function to deal with data. in order to obtain the reasonable operation conditions and operation curve, we have also done many theory analysis and experiment discussions

    通過理論和試驗探討，選用鎳鉻合金電阻絲作為加熱元件，配以陶瓷質埋入式爐膛；選用陶瓷質小尺寸扁平?圓盤均熱塊體型樣品支持器；選用0 . 5mm絲徑鎳鉻?鎳硅熱電偶（ k ）作為測溫元件；熱電偶對稱安置在樣品支持器容器的中部；選用硅酸鋁耐火纖維作保溫材料；合理選用和設計了溫度控制器、溫度變送器、信號放大電路等硬體；採用升溫曲線來控制爐膛供熱過程；採用最小二乘法非線性回歸與分段函數相結合的曲線模擬方法，進行圖形處理。
  3. 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。
  4. Finally, the method of estimating power customer emission level based on binary linear regression is put forward, which make it a condition that harmonic emission is steady at the point of common coupling. combined with power system thevenin equivalent and customer norton equivalent, according to the principle of least squares method, the voltage that a customer ' s harmonic current begets at the point of common coupling can be estimated in the light of the plural correlation of network parameters

    最後，提出了基於二元線性回歸的用戶諧波發射水平估計方法，該方法在假設公共聯接點諧波發射穩定的情況下，結合系統側戴維南等值與用戶側諾頓等值的電路圖，按照最小二乘法原理，利用電網各參數的復數關系推導關于系統側諧波阻抗的二元線性回歸方程，並根據諧波阻抗的估計值求取用戶諧波電流在公共聯四川大學碩士學位論文（ 2003 ）接點產生的電壓降。
  5. Topics include statistical inference, regression, generalized least squares, instrumental variables, simultaneous equations models, and the evaluation of government policies and programs

    主題包含了統計的推論、回歸、一般化最小平方、工具變數、聯立方程模式、以及政府政策與計劃的評估。
  6. The basic method of partial least - squares regression ( pls ) is summarized in the paper

    摘要簡述了單因變量偏最小二乘回歸法的基本原理和計算步驟。
  7. The most accurate method to determine the behavior pattern of a mixed cost is least - squares regression

    測定混合成本行為模式的最準確的方法是最小二乘回歸。
  8. Residential electricity consumption load forecasting based on dynamic clustering and partial least - squares regression

    基於動態聚類與偏最小二乘回歸分析的居民用電負荷預測
  9. Application of partial least - squares regression on multi - dependent variable model analysis of quadratic regression design and its optimal solution

    偏最小二乘法在回歸設計多因變量建模中的應用及其優化
  10. This paper narrates the meaning of research in the applied field of prediction for the ultimate bearing capacity of the integrate pile, introduces several typical predication methods for the ultimate bearing capacity of pile, and gives the way for making model. one of them is the partial least - squares regression method which is put forward by me with the help of mathematics knowledge. the method can offer full range analysis for the ultimate bearing capacity of pile

    本論文主要內容敘述了預測法在完整樁極限承載力中應用研究的意義，引入幾種典型的預測法對樁極限承載力進行預測，闡明了模型的建立方法及過程，其中偏最小二乘回歸預測法是本人藉助數理知識提出的一種新的預測法，用此法可以對樁極限承載力進行全過程分析，本論文最後用marc軟體進行模擬模擬預測，進一步實現了預測的實用性。
  11. The study is based on this era, expatiate the theoretical and realize signification of the study about csi from the plutonomy of maxis. review the actuals and history of the study about csi in country or nation, analyze the method and theory of csi, evaluate the classical method of testing and evaluating the csi - the method of fornell emphatically, and anatomize the core of the fornell - pls ( partial least - squares regression )

    本課題的研究正是基於csi研究的這種時代背景，從馬克思主義政治經濟學的角度闡述了csi研究的理論和現實意義，回顧了國內外csi研究的歷史和現狀，對構建csi的理論方法進行了深入的探析，重點評述了csi測評的經典方法? ? fornell方法，並剖析了fornell方法的內核? ?偏最小二乘回歸方法（ pls方法） （ partialleast - squaresregression ） 。
  12. According to test results of three or more than three points of flowing pressure and corresponding liquid output, the regression equations that contained the 3 undetermined coefficients were setup by the least squares method rule, and the undetermined coefficients were solved by the optimization method

    根據3點或更多點穩定工作制度下產量與對應流壓的測試數據，建立了確定3個待定系數的非線性代數方程組。
  13. Based on the least squares and biased estimation especially ridge estimation, a new estimation, that is, generalized ridge estimation is put forward through studies on restriction of the parameter. model ' s prediction being considered, comparison of superiority of optimal and classical predictions with respect to the ridge estimation is showed. regression diagnoses especially distance for principal components estimation is discussed

    論文基於最小二乘估計及有偏估計特別是嶺估計，對參數的約束條件做了進一步研究，並提出一種新型估計即廣義嶺型估計；對模型的點預測問題進行深入探索，得出一種基於嶺估計關于經典預測和最優預測的最優性判別條件；也對回歸診斷特別是基於主成分估計的距離進行了深入探討。
  14. Method of ascertaining main effecting factors in dam mathematics safety monitoring model during construction period is studied. and dam safety monitoring model during construction period is founded, including statistic model, deterministic model and hybrid model. moreover, traditional regression model is improved, based on deeply studying robustified least squares method

    （ 2 ）研究了大壩施工期數學安全監控模型中各主要影響因素的確定方法及因子的選擇原理，並建立了大壩施工期安全監控模型（統計數學模型、確定性數學模型和混合數學模型） ；此外，在深入研究抗差最小二乘法的基礎上，對傳統的回歸模型進行了改進。
  15. Abstract : the generalized shrunken prediction of finite population is introduced, using generalized shrunken least squares estimator of linear regression models. with respect to prediction mean squared error, a necessary and sufficient condition for superiority of a generalized shrunken prediction over the best linear unbiased prediction is obtained. in the case of linear combination of every unit index, a linear restricting prediction is introduced and then a necessary and sufficient condition for superiority of linear restricting prediction over the best linear unbiased prediction is devived

    文摘:利用線性回歸模型的廣義壓縮最小二乘估計，引入了有限總體的廣義壓縮型預測，在預測均方誤差意義下，得到了廣義壓縮型預測優于最佳線性無偏預測的一個充分必要條件；在只能得到每個個體指標的線性組合時，引入了一種線性約束型預測，並得到了線性約束型預測優于最佳線性無偏預測的一個充分必要條件
  16. Combining with practical investigation and analysis, the author presented the fitting equation of the second non - uniform coefficient in which the method of least squares error approximation with the power index regression is used and proposed a modified formula for flow rate per second calculation to precisely determine the size of pipeline and to make the design advanced in technology and reasonable cost

    本課題分析了室外和室內的設計流量公式，通過調查、實測本地區的水量資料，運用相關數學方法分析，提出了適合小區給水管網採用的流量公式。
  17. Ridge regression analysis is modified least - squares estimation. it can offer a stable forecasting when there is strong correlation between variables

    嶺回歸分析是一種修正的最小二乘估計法，當自變量系統中存在多重相關性時，它可以提供一個更為穩定的預測。
  18. The main research contents include : study the modeling and measure of tendency of customer group ' s requirements. use the method of least - squares estimation in conjoint analysis to model and measure the tendency of customer group ' s requirements and transform the fuzzy requirements of customer group into numerical attribute importance and level utility. solve the problems of estimation and optimization of regression model

    研究的主要內容包括：研究了客戶群體需求傾向的建模和量化過程：應用聯合分析法的最小二乘回歸模型建模和量化客戶群體需求傾向，將模糊的客戶群體需求傾向轉化為量化的屬性重要度和水平效應值，並解決了模型的有效性評估和優化問題。
  19. Least squares regression is vulnerable to singular point ; least absolute deviations can overcome this shortcoming but difficult in calculation

    摘要採用最小二乘法進行回歸分析，容易受到奇異點的影響；最小一乘法雖能很好地克服這一缺陷，但又存在計算困難。
  20. In case of high input dimension system model, taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network, which could solve the problems of high computation and curse of dimensionality. in the selecting of specific wavelet basis, this thesis first gets initial wavelet basis collection according to spectrum analysis, then gives the least squares regression algorithm to optimize wavelet basis collection based on the least estimation error criteria, which could also initialize the model parameters and increase the speed of convergence

    對于具體的模型小波基函數選擇，本文首先對樣本數據進行時頻域分析，根據小波基函數時頻空間覆蓋樣本時頻空間的原則，在小波框架中選擇建模所用的函數集，然後根據估計誤差最小準則，給出最小二乘回歸優選演算法以進一步優化小波基函數集。
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