multivariate data 中文意思是什麼
multivariate data
解釋
多變量數據- 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...
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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。 -
Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure
文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計，用牛頓-拉普森演算法估計回歸系數，用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性 -
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。 -
Experimental multivariate analysis of data
降水量資料多元分析的試探研究 -
In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate
鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。 -
The process of setting up the ship form main dimensions is mainly relied on the multivariate and stepwise regression in the past which based on the massive subsistent data including the main dimensions, light weight, storage capacity, stability and total cost and so on. with the appearance of the technology of ann and ai, the bp network is used predicting and simulating in all kinds of fields
船型主尺度要素的建立，以前主要採用的是基於數理統計理論的回歸分析方法，如多元回歸分析方法和逐步回歸分析方法等，它是建立在大量現有實船數據的基礎之上，對船型主尺度要素、空船重量、艙容、穩性和造價等要素進行統計回歸。 -
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。 -
The interpolation of scattered data by multivariate splines is an important topic in computational geometry
利用多元樣條函數進行散亂數據插值是計算幾何中一個非常重要的課題。 -
We introduce and motivate the main theme of the course, the setting of the problem of learning from examples as the problem of approximating a multivariate function from sparse data - the examples
我們介紹且激發課程的主題將朝向于實例學習法的問題設定，例如稀疏值中多變量函數近似的問題。 -
We look at the problem of learning from examples as the problem of multivariate function approximation from sparse chosen data, and then consider the case in which the data are drawn, instead of chosen, according to a probability measure
並檢視稀疏精選值中多變量函數近似法等這些從實例學習法所發現的問題，然後根據機率衡量，審思隨機獲得資料而非選定資料的案例。 -
Considering the fact that continuous process and batch process are the two important production modes in process industry, and each of them has its respective characteristic, our works are divided into two parts, those are, monitoring of continuous processes and of batch processes. the main contribution of this thesis is as follows, 1 multivariate kernel - density estimation method is used to calculate the distribution of data and assess the impact of parametric uncertainty on the monitoring performance
由於連續生產方式和間歇生產方式是流程工業中兩種重要的生產方式，它們具有各自不同的特點，因此，本文的工作分兩大部分，即連續工業過程的監控和間歇工業過程的監控，具體包括： （ 1 ）採用多變量核密度估計方法，研究了參數不確定條件下，過程數據的分佈及其對系統監控性能的影響。 -
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。 -
A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine ; 2. a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented ; 3. a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype
論文的主要內容概括起來有： （ 1 ）對空間數據挖掘技術、 「 3s 」技術、環境模型在空間決策支持系統中的應用與集成進行了研究，提出了一種基於空間數據挖掘的環境調控空間決策支持系統的模型，包括模型庫及其管理系統、知識庫及其管理系統、數據庫及其管理系統、推理機以及數據挖掘智能引擎等的設計； （ 2 ）建立了人工神經網路在福建省海岸帶環境預測中應用的模型，提出了復合決策樹演算法在遙感分類的應用方法； （ 3 ）提出一種新穎的、簡便快捷的人工神經網路的實現方法，以及決策樹的實現方法，並在原型系統中作了實現。 -
~. considering that the non - linear statistical models based on multivariate polynomials were not well satisfactory, a set of artificial neural network models were also established directly from the data take from the practical plant
（ 5 ）考慮到以多元多項式構造的非線性統計模型存在著一些不足之處，研究了用現場統計數據直接建造神經網路模型的方法。 -
As goldfeld - quandt test can only be applied to one independent variable, it is generalized in the second section. it shows that, in multivariate situation, the data can be arranged according to their principle components. but there should be a premise : the disturbances of the lower data group should have equal variance and those of the higher data group have the same variance
由於戈德菲爾德-匡特檢驗方法只適用於一個自變量，因此，本文對g - q檢驗進行了推廣，說明在多變量的情況下，可以利用主成分對樣本數據進行排序，並強調使用戈德菲爾德-匡特檢驗的前提：低樣本組各觀察值的擾動項必須具有同方差性；高樣本組各觀察值的擾動項也必須具有同方差性，否則，檢驗的結果可能是錯誤的。 -
This essay analyses the principal factors affecting the difference in wage earnings of the floating population in xiamen city through utilizing the data from a series sample survey and establishing a multivariate regression model
摘要本文利用廈門市流動人口系列抽樣調查數據，通過建立一個多元回歸模型來分析流動人口工資收入差異的主要影響因素。 -
The significance established the system is to generalize the theories and methods of bi - cubic coons surfaces and to simplify the boundary conditions greatly which can are directly derived from the given interpolating data. hence the difficulty of determining boundary conditions of multivariate spline is overcome, which makes it use in many applications. 2
該方法的意義是：推廣了雙三次coons曲面的理論與演算法，並對邊界條件進行了簡化改進，可以直接由插值條件獲得邊界條件，從而克服了多元樣條邊界條件難以確定的困難，拓寬了應用范圍。 -
M transformation used in multivariate change detection of noaa avhrr data
數據變化檢測中的應用 -
The basic principle goes like this : taking the multivariate data during the complex production process as input - output information to study, extracting the variables which plays an important role on production result, and then expanding to high - dimension measurement space
基本原理是：將復雜生產過程的多元數據作為輸出一輸入信息進行研究，從眾多的變量中抽取出對生產結果起重要作用的變量，並依此張成高維測量空間。 -
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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