隨機概率抽樣 的英文怎麼說

中文拼音 [suíjīgàilǜchōuyàng]
隨機概率抽樣 英文
random probability samples
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 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
  • 隨機 : random stochasticrandom
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 抽樣 : [統計] sample; sampling; specimen; samples draw
  1. Random probability samples

    隨機概率抽樣
  2. First, this paper gives an introduction of some methods of unequal probability sampling, their estimators and variance estimators, including sampling with pps with replacement, methods of sampling without replacement suggested by brewer, durbin, sampford, des raj, murthy, rao - hartley - cochran. then, at the basis of rao and bayless ' s study, we consider that population can be splited two random subpopulations, which are respectively drawn from different infinite super - populations, and compare the stabilities of estimators of the methods that given above. we find that the minor difference between two super - populations has great effect on the efficiency of the estimators for the population with moderately large coefficient of variation ( c. v. )

    本文首先從理論上介紹了若干種不等概率抽樣方法，它們的估計量、估計量的方差及其估計，其中包括有放回ppz及pps抽樣，不放回不等概率抽樣中的brewer 、 durbin 、 sampford 、 desraj ， murthy 、 rao - hartley - cochran等人的方法；其次，在rao和bayless兩人就樣本單元數n = 2的情形對上述抽樣方法進行比較的基礎上，將總體隨機地分成兩個子總體，視每個子總體取自不同的線性超總體，在文中，我們利用計算機實現隨機分組，並通過畫圖比較各方法估計量的穩定性，結果表明，對變異系數c . v . （ x ）較大的總體而言，兩個超總體之間的微小差異將對估計量的穩定性產生很大的影響，從而說明rao和bayless的比較結果還不夠完善。
  3. Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. when comes to bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one

    蒙特卡羅是一種採用統計抽樣理論近似求解數學或物理問題的方法，它在用於解決貝葉斯分類時，首先根據已知的先驗概率獲得各個類標號未知類的條件概率分佈，然後利用某種抽樣器，分別得到滿足這些條件分佈的隨機數據，最後統計這些隨機數據，就可以得到各個類標號未知類的后驗概率分佈。
  4. The former combines enumeration and sample technique and is easy to implement, but only definite failure modes are simulated, which may be inaccuracy with bulk power system in which high order failures and protection failures are the main cause to instability

    基於蒙特卡羅抽樣的概率穩定模擬演算法可以考慮電力系統的高重隨機故障，並考慮故障間的相關性。模擬法可以模擬多重、連鎖故障對系統暫態穩定性能的影響。
  5. 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。
  6. The instantaneous probability density function of the virtual stochastic process is evaluated, and then the probability density function of the basic random variable is obtained by employing the independent random samples

    利用獨立隨機抽樣的樣本值，即可獲取虛擬隨機過程的瞬時概率密度函數，進而獲得隨機變量的概率密度函數估計。
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