最優抽樣比 的英文怎麼說

中文拼音 [zuìyōuchōuyàngbǐ]
最優抽樣比 英文
optimum sampling fraction
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 抽 : 動詞1 （把夾在中間的東西拉出; 提取） take out （from in between） 2 （從全部里取出一部分; 騰出） ...
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 比 : Ⅰ動詞1 （比較; 較量高下、 長短、距離、好壞等） compare; compete; contrast; match; emulate 2 （比...
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  • 抽樣 : [統計] sample; sampling; specimen; samples draw
  1. Firstly, by numerical and theoretical analysis, the author compares some existent confidence intervals, for example, " exact " confidence interval, wald confidence interval and bayesian confidence interval, and finds some deficiencies points of the confidence intervals, whose modification version has been proposed. also, several better confidence intervals such as are also presented. secondly, for given confidence coefficient and interval width, the author constructs a class of asymptotical two - stage interval estimate procedures. at the same time, under varies restriction of confidence coefflcientent interval width, the optional sample size of the first stage has been computed by numerical computation. the numerical computation shows that the method considered in this dissertation have good properties and applied value

    同時，由於poisson分佈的特性，我們知道不存在其參數區間長度小於0 . 5的置信區間，基於這些情況，我們主要展開了以下兩個方面的研究：一是利用數值計算分析與理論分析的方法對現有的若干置信區間如「精確」置信區間， wald置信區間， bayes置信區間等進行分析比較，發現了一些缺陷，針對這些缺陷，我們進行適當的修正，並得到幾種性質較好的置信區間如：修正大樣本區間jeffreys原則下置信區間二是針對已給定的置信系數與區間長度，我們提出了一種漸近的兩階段區間估計程序，並利用數值計算的方法，在各種置信系數與區間長度限定下，算出了最優的第一階段觀測次數（抽樣量） ，大量數據表明，本文考慮的方法性態良好，具有應用價值。
  2. A novel method of content - based image segmentation using deformable template matching is proposed. a two - dimensional ( 2 - d ) deformable template based on orthogonal curves is built by pre - computing extensions of the deformable template along orthogonal curves and sampling the curves uniformly. then the definitions of internal and external energy functions are given according to the image segmentation problem, and genetic algorithm is used to obtain globally optimal solutions. the proposed method uses a lower - dimensional search space than conventional methods and reduces the sensitivity of the algorithm to initial placement of the template. experiments on real - world images and in simulations at low signal - to - noise ratio show the robustness and good performance of the method

    本文提出一種採用可變形模板匹配技術進行基於內容的圖像分割演算法.通過預先計算出可變形模板沿著變形的正交曲線，並對模板曲線及正交曲線進行離散抽樣，建立一基於正交曲線的二維（ 2 - d ）可變形模板，針對圖像分割問題定義控制可變形模板進行變形的內、外部能量函數，本文採用遺傳演算法搜索能量函數最小的全局最優解.該新演算法比傳統的可變形模板匹配方法降低了搜索空間的維數，減少了演算法對模板初始位置的敏感.對實際圖像及模擬低信噪比圖像處理的結果表明，新演算法具有良好的分割精度及穩定性
  3. Retaining sampled units for changed probability and the optimum matching ratio in successive sampling survey

    概率發生變化時的連續抽樣及最優匹配比
  4. The method for retaining sampled units in successive sampling survey for changed probability of selection is introduced. for pps sampling design, a model - design unbiased predictor for the total of a variable for the target population is proposed, and the optimum matching ratio for the predictor under the assumption of unchanged population is calculated. for rhc sampling design, the equation that the optimum matching ration satisfies is given

    介紹了連續抽樣中概率發生變化時保留樣本的方法。對于有放回的pps抽樣，在假設的超總體模型之下提出了總體變量總值的模型設計無偏預報量，並計算了總體不變時保留樣本的最優匹配比。對于無放回的rhc抽樣，給出了最優匹配比滿足的方程。
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