multivariate data analysis 中文意思是什麼

multivariate data analysis 解釋
多變量數據分析
  • multivariate : 第四節多變量分析
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  • analysis : n. （pl. -ses ）1. 分解，分析；【數學】解析。2. 梗概，要略。3. 〈美國〉用精神分析法治療（＝ psychoanalysis）。
  1. The paper analyzed safety level of certain road in tongzhou district of beijing by multivariate regression empirical bayes approach. result of the analysis effectively overcomes the chanciness of historical accident data

    本文利用多元回歸經驗貝葉斯法分析了北京市通州區某道路的安全水平，分析結果有效的克服了歷史事故數據的偶然性。
  2. On the other hand, the method of multivariate linear regression analysis is used to deduce the relevant matrix between element analysis and of industry analysis coal. then a new calculation model of boiler efficiency by use of industry analysis data is established

    同時採用多元線性回歸方法，建立了煤的元素分析成分與工業分析結果的關聯矩陣方程，從而獲得以工業分析為基礎的鍋爐效率計算的新模型。
  3. Experimental multivariate analysis of data

    降水量資料多元分析的試探研究
  4. Data obtained have been analyzed by multivariate statistical analysis methods including tactor and discriminate analysis

    所獲數據以多變量統計分析技術的主成分分析法作了統計運行。
  5. Abstract : based on the problems in assessments of quality of life and the theory of analysis of variance for split - plot design, a method for analyzing longitudinal quality of life data both univariate and multivariate was introduced with discussions on the application problems. it is also used to analyze the longitudinal quality of life in drug addicts across two groups

    文摘:萬崇華等.縱向資料裂區設計方差分析法及其在吸毒者生命質量評價中的應用.數理統計與管理. 1999 ， 18 （ 1 ） ， 1 - 4本文針對生命質量測評中存在的實際問題，分單變量和多變量兩種情況介紹用裂區設計方差分析思想處理縱向生命質量資料的方法，對應用中的有關問題進行討論，並用於吸毒者縱向生命質量的分析。
  6. Conventionally, due to the huge volume of data, the analysis of erp data, viewed as a multivariate problem, usually adopts principle component analysis ( pca ) to reduce data dimension

    Erp數據的研究與分析因其數據量大的特徵，通常採用多變量解析中主成分分析（ pca ）壓縮元的思路來進行。
  7. Making use of multivariate statistica1 analysis method of mathematical statistics, the ration composite abnormity mode1 is established. we express dispersed geochemical exploration data in image form, and make optimum estimates of unknown values with known values

    本文運用數理統計中的多元統計分析方法，建立定量組合異常模型，將離散型的化探數據表達成圖像形式，利用己知值對未知值作出最佳估計。
  8. 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 ）用現場採集的數據進行多元統計分析時，系統化地試探了變量篩選、數據篩選，和模型優化等各種方法，確定了適合於所研究裝置實際情況的一套統計分析方法步驟。
  9. Two primary mathematical tools used in this dissertation are principal component analysis ( pca ) and blind signal analysis ( bsa ), which are both data - driven methods. pca is not only used as feature extracting method ( where process variables are subjected to multivariate normal distribution ), but also as a tool for dimension reduction ; bsa is used to extract independent features or process blind source signals from process information in information theory sense, which is more effective than pca in describing the process

    主元分析方法不僅作為一種過程特徵的提取方法（在過程信息服從多元正態分佈的情況下） ，而且也作為一種過程數據降維的主要工具（在過程盲源信號提取的情況下） ；盲源信號分析是從信息論的角度，從過程信息中提取出盡可能獨立的過程特徵信號或過程原始信源信號，它具有比主元分析更好的刻畫過程運行特徵的性能。
  10. ( 4 ) it does not like the traditional method to suppose a special designated model concerns between well logging and seismic data. it gains a statistics relation from a series of data training and analysis, which _ is linear relation gained from multivariate regression or nonlinear relation gained from neural net training. ( 5 ) its most important characteristic is using the thought " alternation check " to evaluate the reliability of prediction, and can be used in the optimization of seismic attribute series

    這就允許我們用到迭前和迭后地震數據經過非線性變換的信息: （ 4 ）它不像傳統做法那樣在測井和地震之間假設一種特定的模擬關系，而是在對井點處一系列數據訓練和分析中獲得的一個統計關系，這個關系是通過多元回歸獲得的線性關系，或是通過神經網路訓練獲得的非線性關系: （ 5 ）它最重要的特點是利用「交互校驗」的概念來評估預測的可靠型，並能夠用於地震屬性系列的優化。
  11. In the machining process, the vibration signals of the tools can be gathered by the data acquisition card, and then the turning tools wear monitoring model is built after the signals are filtered through the method of multivariate statistical analysis

    在加工過程中，數據採集單元實時採集刀具的振動信號，經過數字濾波，運用多元回歸建模技術，建立了車削過程刀具磨損監測模型。
  12. The multivariate data analysis and the model for extracting remote sensing mineralization and alteration information

    多元數據分析與遙感礦化蝕變信息提取模型
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