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multivariate regression analysis in Chinese

Pronunciation:
How to pronounce "multivariate regression analysis""multivariate regression analysis" in a sentence

Translationmobile phoneMobile

  • 多變量回歸分析
  • 多元回歸分析

Examples

  • Taken qinshui basin as an example and based on its properties , the coal reservoir ' s permeability is predicted by multivariate regression analysis
    本文以沁水盆地為例，在總結(jié)我國煤儲層滲透性特征的基礎(chǔ)上，依據(jù)煤儲層滲透性的影響因素，用多元回歸分析方法建立煤儲層滲透性預(yù)測模型。
  • 3 . the procedure and methods for variables sieving , data sieving , and model sieving were systematically investigated , and a sequential procedure for applying the multivariate regression analysis to our object plant were determined
    ( 3 )用現(xiàn)場采集的數(shù)據(jù)進(jìn)行多元統(tǒng)計(jì)分析時，系統(tǒng)化地試探了變量篩選、數(shù)據(jù)篩選，和模型優(yōu)化等各種方法，確定了適合于所研究裝置實(shí)際情況的一套統(tǒng)計(jì)分析方法步驟。
  • Now , many machine learning methods , such as artificial neural network and multivariate regression analysis , are applied to quantitative structure - activity relationship . in this paper , support vector regression is applied to quantitative structure - activity relationship
    本文在簡介定量構(gòu)效關(guān)系發(fā)展?fàn)顩r的基礎(chǔ)上,介紹了幾種定量構(gòu)效關(guān)系的解決方法,其中重點(diǎn)介紹了多元線性回歸方法和人工神經(jīng)網(wǎng)絡(luò)方法。
  • Adopting the actual county - grade database of land use firstly founded in china , combining with the comprehensive influential factors of land use change , using the correlative statistic software and the mathematic analytical methods ( principal component analysis , gray relating analysis , multivariate time series markov chain analysis , multivariate regression analysis , gm ( 1 , 1 ) gray model , gray series gm ( 1 , n ) model methods etc ) , this paper analyses the dynamic change of land use and driving force in jiang ' an county qualitatively and quantitatively . the results indicate : 1 the land resource per capita and the area of single - land - use type in jiang ' an county are not prior to other places in yibing city or sichuan province . however , the terrain is dominant in choosing the way of land use
    本文采用全國首批建立的“縣級土地利用現(xiàn)狀數(shù)據(jù)庫”的基礎(chǔ)數(shù)據(jù)，結(jié)合影響土地利用變化的經(jīng)濟(jì)、社會、環(huán)境等綜合因素，采用相關(guān)分析軟件( dps 、 spss )和數(shù)學(xué)分析方法(主成分分析、灰色關(guān)聯(lián)度分析、多元回歸分析、多元時空序列馬爾柯夫鏈分析、 gm ( 1 ， 1 )預(yù)測模型分析、灰色序列g(shù)m ( 1 ， n )模型分析等方法) ，對江安縣土地利用變化及其驅(qū)動力進(jìn)行定性、定量研究，研究結(jié)果表明： 1江安縣人均總的土地資源數(shù)量和單一土地利用類型的數(shù)量在宜賓或四川省區(qū)域內(nèi)均無優(yōu)勢；地形對土地利用方式的選擇起著主導(dǎo)作用；土地利用變化的總趨勢是：耕地、林地、交通用地和水域面積不斷減少，居民點(diǎn)及工礦用地和未利用地面積不斷增加；景觀多樣性指數(shù)呈現(xiàn)“ ”趨勢。
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