經典回歸模型 的英文怎麼說

中文拼音 [jīngdiǎnhuíguīmóxíng]
經典回歸模型 英文
classical regression model
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 典 : Ⅰ名詞1 （標準; 法則） standard; law; canon2 （典範性書籍） standard work of scholarship 3 （典故...
  • 回 : 回構詞成分。
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 經典 : 1. （具有權威性的著作） classics 2. （宗教教義著作） scriptures 3. （著作具有權威性的） classical
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. Data procession and analyzing, the paper first use regression analysis model to analyze the relationship between economic benefit and land use structure, ecological benefit and land use structure. then, the paper based on the results, use mathematical of multi - objective programming to determine the land use structure in the hilly countryside of sichuan. lastly, the paper analyzed the laws of land use structure optimization in the different relevance of economic county

    本文以四川丘陵區各典型丘陵區縣為例，在土地利用結構最優思想的指導下，通過數據的收集、整理與分析，首先採用回歸分析的方法，分析了該區的經濟、生態效益與土地利用結構的相關性，然後以回歸分析所得的回歸系數為效益系數，在不同經濟發達程度的區域，各選取三個區縣，以經濟、生態效益最優為目標，以社會條件為約束條件，建立多目標規劃模型，得出該區縣的土地利用優化結構。
  2. 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。
  3. 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。
  4. In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression

    首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
  5. The relativity between residents ’ income margin and the economic growth in jilin province was analyzed with positive research methods. the influence of economic growth on income margin in jilin province was studied by retrogressive method and the hypothesis of converse “ u ” was verified. it was also studied from the point of view of total supply by the new classic economic growth model

    用實證分析的方法研究吉林省居民收入差距與經濟增長相關性:採用回歸分析方法研究吉林省經濟增長對收入差距的影響，驗證了倒「 u 」假說;採用新古典經濟增長模型從總供給角度研究收入分配差距對經濟增長的影響。
  6. This paper discusses mainly how to apply the varying coefficient regression model in the econometrics, fited by the varying coefficient model, we can not only obtain the well fitted value, but also can explore the nonstationarity in the economical structure explained

    摘要文章主要討論了變系數回歸模型在計量經濟學中的應用，變系數回歸模型不但有很好的擬合效果，而且可以探討變量之間的經濟結構的非平穩性，這是經典的線性回歸模型所不能比擬的。
  7. It comes up with a new notion, d - solution, which is applied to the distance estimation, by virtue of hilbert space ; furthermore, the dissertation has gained a necessary condition which is identity of minimum mean - square value in linear function classes, so that d - solution extends minimum mean - square value within the domain of nonlinear function equation or equation system ; and, the dissertation studies in detail the classical moment estimation and maximal likelihood estimation on the parameters of ar ( p ), a series of theorems in the estimation section shows the moment estimators are consistent on the ground of large samples jikewise, those distribution functions of the estimated parameters accord to maximum likelihood estimation converge gauss distribution if the white noise is gaussan

    首先，藉助hilbert空間理論，提出了距離估計的d -解，給出了d -解的必要條件，這個條件在線性函數類里即是極小二乘估計法， d -解的必要條件滿足的方程實質上將極小二乘估計法推廣到多函數及非線性函數類。再而，詳細地研究了多元弱平穩序列自回歸模型ar （ p ）的參數經典的矩的替代估計和極大似然估計，獲得矩的替代估計的一致性的結果。對基於gauss白噪聲假設多元弱平穩序列自回歸模型的均值、白噪聲的協方差陣的極大似然估計都有依分佈收斂到多元正態分佈的統計性質。
  8. Based on the classical least squares method ( rls ) in system identification, the several new identification algorithms of parameter estimation for the autoregressive moving average ( arma ) model, are presented. they include univariable and multivariable two - stage recursive least squares - recursive extended least squares ( rls - rels ) and two - stage recursive least squares - pseudo - inverse ( rls - pi ) algorithms

    本文在系統辨識經典的最小二乘法（ rls ）的基礎上，提出了自回歸滑動平均（ arma ）模型參數估計的一些新的辨識演算法，它包括單變量和多變量兩段遞推最小二乘?遞推增廣最小二乘（ rls ? rels ）演算法和兩段遞推最小二乘?偽逆（ rls ? pi ）演算法等。
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