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weighted moving average造句

"weighted moving average"是什么意思   

例句與造句

  1. Exponentially - weighted moving average
    指數(shù)加權(quán)移動(dòng)平均方法
  2. Ewma application of statistics . control charts . part 3 : control charts by exponentially weighted moving average
    統(tǒng)計(jì)學(xué)應(yīng)用.控制圖.第3部分:指數(shù)加權(quán)移動(dòng)平均值控制圖表
  3. In a multivariate quality control process , a common statistic is hotelling ' s t2 . in order to detect small shift or trends sensitively , multivariate cumulative sum ( mcusum ) chart and multivariate exponentially weighted moving average control chart ( mewma ) are recommended
    在多元質(zhì)量控制中,通常采用hotelling統(tǒng)計(jì)西北工業(yè)大學(xué)博士學(xué)位論文摘要量、多元指數(shù)加權(quán)移動(dòng)平均圖( mewma )和多元累積和圖( mcusum ) 。
  4. Exponentially weighted moving average ( ewma ) and fuzzy algorithm for the input samples are also developed to improve its recognition accuracy . numerical simulation results show this model possesses many advantages , such as good self - adaptive ability , quick training and good recognition performance
    文中提出了采用歐氏距離判別法作為混合型多特征異常模式的識(shí)別方法;提出了采用數(shù)據(jù)模糊化和指數(shù)加權(quán)滑動(dòng)平均處理兩種提高模型識(shí)別精度的方法。
  5. The forecasts method including the forecast method of simple moving average , the forecast method of weighting moving average , the forecast method of single exponential smoothing , the forecast method of double exponential smoothing , the forecast method of multiplication model and the forecast method of monadic linear regression
    預(yù)測(cè)方法包括簡(jiǎn)單移動(dòng)平均法、加權(quán)移動(dòng)平均法、一次指數(shù)平滑法、二次指數(shù)平滑法、乘法模型預(yù)測(cè)法和一元線性回歸方程預(yù)測(cè)法。
  6. It's difficult to find weighted moving average in a sentence. 用weighted moving average造句挺難的
  7. This paper studies the ways to comfotmate the models of portfolio investment combi - nation , and demonstration analysis , divided into three parts . the first part : exordium . mainly introduces the risk of portfolio investment . the second part : brings forward several kinds of investment combination model , including the traditional markowitz model , multiobjective programming and fuzzy programming . the third part : goes along with the demonstration analysis of each kind of model basted on the shanghai stock market , at the same time , appraises the superiority and inferiority with the single - parameter measurement of tangible achievement . before then , most papers discussed the static models , this paper extends the static models to the dynamic models by the means of weighted moving average and bayes estimation
    本文研究了證券投資組合模型的構(gòu)造方法及其實(shí)證分析,分三部分進(jìn)行:第一部分,緒論,主要介紹證券投資的風(fēng)險(xiǎn);第二部分,提出幾種投資組合模型,在傳統(tǒng)的馬柯維茨模型及線性規(guī)劃的基礎(chǔ)上,本文另外提出多目標(biāo)規(guī)劃的其它解法,并把前人模糊規(guī)劃的理論應(yīng)用到具體的建模中;第三部分,根據(jù)我國(guó)的滬市行情,對(duì)各種模型進(jìn)行實(shí)證分析,并利用實(shí)績(jī)的單參數(shù)度量對(duì)各種模型的優(yōu)劣性進(jìn)行評(píng)價(jià)。

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