樣本統計量 的英文怎麼說

中文拼音 [yàngběntǒngjìliáng]
樣本統計量 英文
sample statistics
  • 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
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  • 計量 : calculate; estimate; meterage; metering; batching; measure
  1. An introduction to descriptive and inferential statistics, including measures of central tendency and dispersion, elementary probability, simple correlation and regression, tests of hypotheses, and nonparametric methods

    統計學為?集、整理、陳示、解釋資料，並可由樣本的統計量推論母體母數，俾能在不確定情況下，做成決策的科學方法。
  2. The measures we compute for a sample are called statistics.

    根據樣本計算的量叫做統計量。
  3. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  4. Abstract : the empirical likelihood confidence intervals for quantiles are constructed under a - mixing sample, which are based on the result that the blockwise empirical likelihood ratio statistic asymptotically has the 2 ( 1 ) distribution

    文摘:在一定的條件下證明了-混合樣本下分位數的分組經驗似然比統計量的漸近分佈為2 （ 1 ） ，由此可構造分位數的經驗似然置信區間
  5. Through statistic sampling and constructing the statistics with the comprehensive magnitude of spectrum, the alarm limit of comprehensive mal - functions can be determined in accordance with the 3 rule

    對實時監控系統採集、記錄的實測數據進行抽樣，用樣本譜線綜合幅值構造統計量，採用3規則確定了測點綜合故障報警限。
  6. The likelihood ratio tests indicate the null hypothesis of exact linear aggregations and identical preferences across income groups are rejected by the sample data

    檢定統計量概似比值顯示樣本資料拒絕需求模式設定?線性加總，和不同所得組別需求偏好結構是一致之虛無假說。
  7. 5. the position and scale problem of two d - dimensional samples is discussed by using the linear rank statistics based on depth function

    5 、利用基於深度函數的線性秩統計量討論兩d維樣本尺度與位置問題。
  8. 4. during the investigation of distinction in mathematical cognitive structure, the author uses statistical sampling method. by test - analysis, observation, conversation and exchanging with teachers, the qualitative and quantitative analysis is made

    在對高中生數學認知結構個體差異的調查研究中，筆者首先採用整群+分層抽樣的統計方法選取了樣本，然後通過問卷測試?分析法、觀察法、談話法以及與數學教師的交流對調查結果做出了定量和定性的分析。
  9. Since in many situations the error term is not normally distributed, it is important to know the asymptotic properties ( large sample properties ), i. e., the properties of ols estimator and test statistics when the sample size grows without bound

    由於在很多情形下誤差項可能呈現非正態分佈，了解ols估計量和檢驗統計量的漸近性，即當樣本容量任意大時的特性就是重要的問題。
  10. Acquisition of the fuse alarm digital variables : during idle, repeat acquired the 120 routes 48 analog data, process sample statistic for each rote acquired active - high

    熔絲報警開關量信息的採集：在idle時候循環採集120路開入數據，對各路採到的實時高電平次數進行樣本統計。
  11. Using calculation result from prophase sample, sampling size needed in next step can been determined and it can be expected that ultimate sample size would be a best approximation for that desired and meet the precision demanded at less cost than traditional methods

    利用前期抽取樣本的計算結果，可以規定進一步需抽取的樣本量，最終樣本量是對真正期望樣本量的一個最佳近似，它比傳統方法更能保證以最少的費用滿足預先設定的精度要求。
  12. At first, we prove the complete convergence of triangular arrays. then, we give the complete convergence of associated random variables. at last, the almost sure convergence and complete convergence of - mixing random variables " order statistics are given

    樣本及m -相依樣本三角組列的完全收斂性；接著研究相伴隨機變量序列的完全收斂性；最後，還給出了混合隨機變量次序統計量的強相合性及完全收斂性。
  13. It is the researchful purpose of this paper that the methods of appraising the existing structural reliability basing on own information are found, which will impel the methods of appraising the existing structural develop from applied methods to probability methods. the contents of this paper have mainly four, including : firstly, the normal value of permanent load in the existing structure is ascertained by the way that is called bayes - small capacity, which considers the dates of design and the road - test dates. secondly, by introducing the random variable that is statistical ambiguity, the statistics of loading and resistance of existing structure are researched

    本文研究目的是針對現有結構的特點，建立基於自身信息的現有結構可靠性的實用評定方法，推動我國的現有結構可靠性鑒定方法由實用鑒定法向概率鑒定法發展，主要研究內容包括四個方面：一、結合結構原設計數據和現場抽樣實測數據，研究了恆載標準值的統計推斷方法，提出bayes小樣本統計推斷方法；二、利用統計不定性隨機變量，結合現有結構的特點，提出荷載、抗力變異性的小樣本統計推斷方法；三、分析了現有結構抗力變異性的主要影響因素，並利用實測數據進行了實例分析；四、針對現有結構自身的荷載、抗力統計特性，研究了現有結構承載力的校核表達式，對恆載、抗力分項系數提出修訂建議，建立了基於自身信息的現有結構可靠性實用評定方法。
  14. In this section of the paper, we summarize statistical simulation problem and provide the simulation algorithms of statistics distribution, large sample simulation, testing power, empirical simulation and optimal problem, etc. and show the examples

    摘要本文概述了統計模擬問題，介紹了統計量分佈函數模擬，大樣本模擬，檢驗功效模擬，經濟模擬及優化問題模擬等，給出了一些模擬實例。
  15. Based on signal from carbon fiber composite defects such as lamination, hole, looseners in ultrasonic testing, this paper performs wavelet packet transform on the ultrasonic signals to extract statistics of approximation coefficients and detail coefficients that contain a great part of signal energy as sample - features

    摘要本文以碳纖維復合材料常見缺陷分層、孔隙、疏鬆的超聲波檢測缺陷信號為研究對象，對超聲波檢測信號進行小波包變換，提取包含信號絕大部分能量的近似系數波形特徵及細節系數的統計量作為樣本的特徵值。
  16. The six sigma black belt should be able to compute univariate statistics for samples

    譯文：六西格瑪黑帶應該能夠計算出樣本的單變量統計量。
  17. Starting from benchmark model of incentive mechanism, the paper discussed the statistical backgrounds of first order condition and likelihood ratio condition, the information meaning of sufficient statistics and its derivation in relative performance evaluation, and the improvement on incentive allocation by large sample theory and bayes estimation under multi - period

    從激勵機制的基準模型出發，探討一階條件法與似然比條件的統計背景、充分統計量的信息含義及其在比較業績評價方面的推廣應用、多期情形下大樣本理論與貝葉斯估計對激勵配置的改善。
  18. Svm is a kind of universal learning algorithm, which developed from statistical learning theory, that is, small sample learning theory proposed by vapnik. it can represent complicated functions especially in high dimensions, which can avoid the trouble of the dimension tragedy that happened in general algorithm. it also will not affect the system performance by using original data of the array for the eigenvector directly

    支持向量機是由vapnik等人提出的小樣本統計理論? ?統計學習理論發展而來的一種新的通用學習演算法，特別在高維空間中表示復雜函數，避免了常規演算法「維數災難」等麻煩問題，可直接用陣列原始數據作為特徵向量而不影響系統性能。
  19. There is a natural linear order relationship among the data of one - dimensional sample, so which can be ordered according to the size of the sample points, however, since there is no natural linear order relationship among data of multi - dimensional sample, it is impossible to gain multi - dimensional order statistics in accordance with the order of the size of sample, neither is it impossible to extend many useful methods for one - dimensional nonparametric oiatistics to those for high dimensional ones

    對於一維樣本，由於數據之間存在一種自然的線性序關系，故可按照樣本的大小排序，從而得到秩向量。但對于多維樣本，數據之間則不存在自然的線性序關系，無法按照樣本的大小排序而得到高維樣本的次序統計量並由此把一維非參數統計的許多有用的方法直接推廣到高維情形，使得對多元數據的統計分析十分麻煩。
  20. The simulated result shows that, comparing with cumulants, this algorithm is not affected by different structure of the system, not needed to calculate the higher - order cumulants of the sampling, the sampling number requirement is small, and its realization is convenient by using computer

    模擬結果表明，與常用的高階矩法相比，該方法具有不受系統結構影響，不需要計算樣本數據的高階統計矩，使用的樣本數據量少，便於用計算機實現的優點。
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