traditional statistical method 中文意思是什麼

traditional statistical method 解釋
傳統統計方法
  • traditional : adj. 口頭傳說的；傳統的，慣例的，因襲的。 traditional Chinese medicine 中藥。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. ( 4 ) through level division of the predict result which favorable for mineralize district in the studied areas. we put up a graduate method which is used to divide graduations of statistical result. this kind of dividing method is different from traditional interval or non - interval graduate method, it can avoid a subjectivity for level division and is favorable to divide the high value of the result. ( 5 ) in the light of rank points and weight of the predicting factors, minerogenetic prediction map had been made. on the basis of the map, six favorable districts to mineralize had been determined

    這種劃分方法不同於傳統的等間距、不等間距劃分方法，避免了劃分的主觀性，更有利於對預測結果高值區域的劃分； （ 5 ）根據預測因子的級別分數和權重，通過gis疊加分析操作，生成一系列的成礦預測系列圖件，根據預測圖件，在研究區圈定6個成礦有利區。
  2. Abstract : events contributing to the establishment of statistics the science of data and its chemical branch are epitomized. as the new chemical branch named chemometrics or chemstatistics has been disputed in the circles of chemistry for a long time, reasons for adopting chemstatistics are given, which is defined as the science of gathering or generating, describing, summarizing and interpreting the data concerned to acquire new chemical knowledge or information. the fact that many traditional statistical methods, such as significance tests, analysis of variance, regression and correlation, and some others not usually considered statistical, such as model building, monte carlo method, fourier transformation, artificial nerval networks and pattern recognition, each contains one or more of the five connotations of statistics is expounded. the regular pattern that a chemstatistician grows up is approached. the urgent task is to include chemstatistics in the undergraduate or graduate curriculum of chemistry specialty. the goal of the project is to nurture chemists who know statistics

    文摘:本文追溯了統計學發展、建立中的大事，陳述了它的定義及其化學分支發展、建立的梗概；鑒于化學界對該新興化學分支學科的名稱長期存在爭議，提出了以化學統計學而不以化學計量學為該學科名稱的理由，把化學統計學定義為一個研究有關數據的收集或產生、描述、分析、綜合和解釋，以獲得新化學知識或信息的學科；闡明了許多公認屬于統計學的方法，如顯著性檢驗、方差分析、回歸和相關，以及一些尚未認定屬于統計學的方法，如模型建立、蒙特卡羅方法、傅立葉變換和人工神經網路，都含有統計學5個內涵中的一個或多個；探討了化學統計學家成長的模式，認為當務之急是把化學統計學納入化學專業的教學計劃，以培養懂統計學的化學家。
  3. 3, on the base of the traditional spatial filtering, the author present, a new despeckle algorithm, that make use of iterated processing and correlated neighbourhood model, iterated filtering method of the sar image combining the correlated neighbourhood model with maximum a posteriori filter. first, a series of templates refecting direction information are established and every template is present for a kind of neighbour structure. then on the basis of sar images statistical property, the maximum a posteriori estimate of the real intensity under observation image values is got by bayes formulatio - n

    3 、針對傳統空間濾波器的不足，引入迭代處理和相關鄰域模型的概念，提出了基於相關鄰域模型的最大后驗迭代濾波。該演算法引用一系列反映局部邊界特徵的鄰域模型，以描述圖像的細節。引入強度的先驗概率分佈模型，利用bayes方法，對各個結構進行實際強度的最大后驗估計。
  4. In the face of the nonlinear and non - stationary time series largely existed in natural and social economical phenomena, the traditional method of statistical analysis performed badly

    面對自然和社會經濟現象中大量存在的非線性、非平穩的復雜時間序列，傳統的統計分析方法效果欠佳。
  5. On the basis of theoretical research, the statistical process control system is studied and developed, in which the traditional shewhart control chart and the method presented in the paper are employed, the functions of quality analysis and real - time control are realized

    該系統應用了傳統的休哈特控制圖和本文提出方法，實現了對不同批量生產條件下的質量分析與實時控制，實現了數據分析、報警、報表輸出等功能，並用實例進行了驗證。
  6. The background subtraction method is used to retrieve the foreground, and the mixture gaussian model is used to model the background, during the modeling, the improved k - means algorithms is applied to improve the speed of background modeling ; 2. in the process of the background updating, the updating algorithms based on statistical average is used to update the background, compared to the traditional background updating methods, it improves the speed of the background updating ; 3. to solve the problem that the detection method based on gaussian shadow model detects the shadow inaccurately under some situations, a novel algorithm based on the body color vector matching is presented to detect and eliminate the shadow

    本文在總結和分析了國內外相關研究工作的基礎上，針對運動物體檢測與提取中如何檢測與提取前景區域以及如何檢測與去除陰影的問題開展研究，其主要研究內容和成果如下: 1 .採用背景減除法提取前景區域，利用混合高斯模型進行背景建模，建模過程中，引入了改進的k -均值演算法，加快了背景建模的速度，提高了背景建模的質量; 2 .在背景更新的過程中，採用了基於統計平均的更新演算法，相對于傳統的背景更新方法，提高了背景更新的速度; 3 .針對運動物體陰影檢測與去除中，基於高斯陰影模型的陰影檢測方法在某些情況下對陰影檢測不準確的問題，提出了一種基於體色向量匹配的陰影檢測與去除演算法。
  7. We raised a new model that we disassemble the character into several parts, which could be recognized by computer topologically based on the high - frequency wavelet coefficients vector, disregarding the traditional extraction method that used the statistical or structural feature based on the individual pixel in the 2 - dim plane of character. moreover, the concept of multi - dim cognizing feature model was put forward by encoding the character, according to its " location and run - length information. the information confusion and redundancy could be largely eliminated, as leaded to the improving of the preciseness when recognizing the character

    克服以往結構、統計方法在字元特徵提取中無法剔除噪聲、偏移等冗餘信息的不足，以認知的新思路分析圖像，給出基於小波子圖的筆劃定義，給出一種注重反映字元部分最為重要的筆劃的類型、數量、遊程、位置特徵，改進了基於字元二維圖像的統計與結構特徵提取方法因變形，畸變造成信息混淆和冗餘；給出了提取多屬性字元認知特徵的方法和識別機制，實驗表明，該方法能有效的識別字元； 3
  8. Ann can discriminate the relativity between training samples precisely, so it is better than traditional statistical method on forecasting function

    因為神經網路可以很好地識別訓練樣本之間的相關性，所以它在預測功能上優于傳統的統計分析方法。
  9. By synthetically applying the method of cluster analysts and of parametric test and combining with the traditional means of statistical process control, a highly automatic controlling frame suitable for multi - variety and large quantity machine building process was pot forward

    綜合運用聚類分析和非參數檢驗的方法，結合傳統的統計過程式控制制手段，提出了適用於多品種、大批量的高度自動化機械製造過程式控制制框架。
  10. It is very difficult to query, statistics and analyze various kinds of scale figure and historical datum with traditional management method. because all kinds of statistical report form, scheme picture, thematic picture of the administrative department are calculated and completed by hand basically, it is very hard to meet the needs of fast - developing magnanimity data management and cause low efficiency of management, great large workload of upgrading information, the mass of manpower, material resources and resource are wasted beyond measure

    傳統的管理辦法對各種比例尺圖形以及歷史資料的查詢、統計和分析難度較大，管理部門的各類統計報表、方案圖、專題圖基本由手工計算和繪制完成，很難適應快速發展的海量數據管理要求，導致管理效率低，資料更新工作量大，造成人力、物力和資源的極大浪費。
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