forecasting by mathematical statistics 中文意思是什麼
forecasting by mathematical statistics
解釋
數理統計預報法- forecasting : （勞動力供求）預測
- by : adv 1 在側，在旁，在附近。2 （擱）在一邊，（放）到旁邊，（存）在一旁；收著。3 （由旁邊）經過，過...
- mathematical : adj 數學（上）的，數理的；嚴正的，精確的。 mathematical instruments 制圖儀器。 mathematical logic...
- statistics : n. 1. 統計學，統計法〈用作單數〉。2. 統計數字[資料]，統計表〈用作復數〉。
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The paper accounts the importance and the necessity of the forecasting research to the stock return volatility of our country, and the use in practice of the forecasting about the stock return volatility, firstly, stock market of our country is divided into large scale stock 、 middle scale stock and small scale stock on the basis of stock size. secondly, according to the basic method of the mathematical statistics ， the behavior of the return volatility about single stock is described by using the model of the rolling variance estimates 。 through the relation of daily returns volatility and weekly returns volatility and the forecasting accuracy of the volatility forecasting model to various stock scale ， we do practical analysis with the forecasting research to return volatility of single stock market
在個股收益波動性的可預測性研究方面，首先按市值規模大小將我國股票分為大盤股、中盤股和小盤股，然後利用數理統計的基本方法，用滾動樣本方差估計模型描述個股市場收益波動性的行為，並對三種股票日收益率序列及周收益率序列波動之間的關系以及波動預測模型對各種股盤的預測準確性進行了實證分析和結果檢驗。 -
Based on the historical space forecast data and corresponding actual data provided by a global semiconductor assembly and test company, the uncertainty of space planning was defined. during this analysis process, linear regression, grey prediction, neural network back propagation algorithm and confidence interval were applied, respectively, to define the uncertainty. compared with those methods, the confidence interval of historical space forecast error, calculated by mathematical statistics, was the reasonable method to define the space forecasting uncertainty
本文從半導體工廠長期生產能力計劃的頂層即廠房生產面積的計劃展開，對一跨國半導體封裝測試公司提供的廠房生產面積的長期歷史預測數據以及對應的真實數據進行分析，採用線性回歸，灰預測，神經網路bp演算法，基於數理統計的置信區間的求解等方法分別定義廠房生產面積預測的不確定度，經多種方法的比較得出，基於數理統計方法求解出的生產面積歷史預測誤差置信區間能直觀清楚地標定不確定度。
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