heavy-tailed distribution 中文意思是什麼
heavy-tailed distribution
解釋
重尾分佈- heavy : adj (馬)患哮喘病的。adj 1 重的 (opp light) 有重量的;重型的;裝備重型武器的。2 大的;大量的,...
- tailed : 帶尾翼的
- distribution : n 1 分配,分發,配給;分配裝置[系統];配給品;配給量;【經濟學】配給方法,配給過程;分紅;【法律...
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Meanwhile, in consideration of the self - similar nature of traffic in communication networks, the queueing system of an on / off traffic source with heavy - tailed distribution is discussed, because the aggregating traffic of a mass of such traffic sources exhibits self - similarity. the main research works and results are listed as follows
同時,考慮到網路業務具有自相似性,而且大量具有「重尾」特性的信源產生的業務疊加后可以生成自相似業務,本文對這類信源的排隊系統進行了探討。 -
Self - similar traffic ; heavy - tailed distribution ; queuing performance
自相似業務量重尾分佈排隊性能 -
Heavy - tailed distribution
重尾分佈 -
The main risk model that we consider in this paper is the renewal risk model, and all chapters in this paper are carried through based upon the heavy - tailed distribution ( large claim )
本文關注的基本模型是經典的更新風險模型,討論的均是建立在重尾分佈族的基礎之上(即大額索賠) 。 -
It is the heavy - tailed distributions that may not possess all of their moments, and, therefore certainly not their laplace transforms that brings the difficult to analyzing heavy - tailed distribution service time
重尾分佈的拉普拉斯變換不存在,這給重尾分佈服務時間的分析帶來了很大的困難,因此需要用新的方法解決這個問題。 -
Some methods of how to generate self - similar process and a few means of estimating self - similar parameter are given. self - similar traffics are generated by using of on / off model with heavy - tailed distribution and results are given. the results of experiment accord with the theory
本文總結了前人的研究成果,給出了幾種常見產生自相似的方法和幾種估計自相似參數的方法,並對on / off模型疊加產生自相似業務進行了模擬實驗,得到了實驗結果,從實驗結果可以看出,模擬結果和理論值比較接近,這說明利用on / off模型疊加產生自相似業務是可行的。 -
Because return of chinese security market is non - normal distribution, so we use garch - t model which can describe the time - variation of volatility and the high - peaked and heavy - tailed characteristics of return to calculate var value of market index. from empirical results we know that this model is efficient
考慮到中國證券市場收益率序列分佈的非正態性,本文使用了既能描述方差時變性又能反映收益率分佈的尖峰、厚尾特徵的garch - t模型計算市場指數的var值,實證結果表明該模型是有效的。 -
Chapter 4 tested normal distribution of return time series of chinese stock market. resulted show that the distribution of return time series is non - normal, it has high - peaked and heavy - tailed characteristics. at the same time, we explain the reason of it
第四章對我國股票市場收益率序列進行了正態性檢驗,結果表明我國股票市場收益率不服從正態分佈,具有明顯的尖峰、厚尾特徵,然後解釋了出現尖峰、厚尾的原因。 -
Stable laws are able to capture the two main characteristics of empirical evidence that returns follow a heavy - tailed and sometimes even skewed distribution
穩定分佈能夠描述金融數據中的兩個重要經驗特徵:厚尾以及傾斜。 -
The consistency of the ordinary least squares estimator n is obtained for = - 1, and the limiting distribution of n is established as a function of a levy process. these results are useful in testing for the presence of unit roots when the innovations are heavy tailed
得到了參數= - 1時最小二乘估計_ n真的相合性,並且證明了其極限分佈是l vy過程的函數,這在單位根測試中是非常有用的。
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