classical regression 中文意思是什麼
classical regression
解釋
古典回歸- classical : adj. 1. （文藝等）古典的，傳統的，權威的；古典文學的；古典語文的；古希臘[古羅馬]的；古典主義的，經典的。2. 人文科學的，文科的。3. ＝classic 1. adv. -ly
- regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
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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 ） 。 -
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。 -
Under - fitting problems usually appear in regression models for dam safety monitoring. to overcome those problems, firstly, integral regression temperature factors and periodic time - effect factors were introduced to expand the classical factor set
本文首先從物理概念角度出發，引入積分回歸溫度因子和周期性時效因子，對傳統模型因子集進行擴充，以彌補傳統模型擬合一些特殊物理過程的不足。 -
One of the important hypotheses of classical linear regression model is that the random disturbances have equal variance
經典線性回歸模型的一個重要假設就是回歸方程的隨機擾動項u _ i ，具有相同的方差，也稱同方差性。 -
The data forecasted by network experiment data and data computed by classical regression model are compared and analysed from the comprehensive angel of sediment incipient motion theory and ann theory
最後從泥沙起動輸移理論和神經網路理論的綜合角度，分析比較網路預測值和實測值、傳統模型回歸計算值。 -
In this dissertation, on the basis of comprehensive review of the study achievements on sediment transport, we get the fact that most of formula in sediment incipient motion and bed - load transport rate are established by classical regression analysis model, i. e. firstly establishing the formula according to related sediment transport theory, secondly computation for regression coefficients in formula by using field or laboratory experiment data
故本文在回顧並總結泥沙輸移研究成果的基礎上，指出大多數泥沙起動公式和輸沙率公式的推求是採用傳統回歸模型，即先根據輸沙理論定出計算公式，再用實測資料或試驗數據率定公式系數。 -
The main contents are as follows : section - of theory of sediment transportation - on the basis of comprehensive review of the study achievements on sediment transport, pros and cons in using classical regression model based on lms during establishing formula in sediment incipient motion and bed - load transport rate ; experiment data in non - uniform sediment with a wide distribution in flume experiment of stead sediment transportation are been collected and coordinated
本文的主要內容包括：泥沙輸移理論部分：對前人的相關泥沙起動輸移研究結果總結性的回顧，分析了採用最小二乘法的傳統回歸模型在泥沙起動公式和輸沙率公式處理中的四川大學碩士學位論文人工神經網路理論及其在泥沙科學中的應用研究優點和缺點:收集並整理了兩組平衡狀態下的輸沙試驗資料。 -
According to the problem that the recovery rate is traditional treated as a constant or an independent stochastic variable by the classical credit risk pricing and management model, and problem that the negative correlation between the default probability and recovery rate is always neglected, this dissertation gets the exponential and logarithm regression models of default probablilty and recovery rate based on some empirical researches, and improves on several broadly applied credit risk models, such as structural hazard rate model, affine structure model, convertible bond pricing model and credit metrics model, and introduce the negative correlation between
針對傳統的信用風險定價模型及信用風險管理模型將違約回收率看成是一個外生的常數或是一個獨立的隨機變量，而忽略回收率和違約概率之間的負相關性這一問題，本文應用相關實證研究得到了違約概率和回收率的指數和對數回歸模型，並對應用非常廣泛的結構化風險率模型、仿射結構模型、可轉換債券定價模型和creditmetrics模型進行了改進和拓展，在新模型中應用指數和對數函數引入了這兩個變量之間的負相關性。
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