- 更多网络例句与非尖峰的相关的网络例句 [注：此内容来源于网络，仅供参考]
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Research results show that the combination of the EMD and the WD is able to more effectively identify the characteristic signals of the original series.
通过数值试验验证了BG算法处理非平稳时间序列的有效性和尖峰噪声、随机扰动等对检测结果的影响较小。
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However, asymmetric Laplace distribution has only 2 parameters and explicit distribution function form, it can fit the data of stock returns well. Consequently it greatly facilitates the calculation of optimal portfolios and the management of financial risk.
非对称拉普拉斯分布有明确的解析表达分布函数，只含有2个参数，能够较好拟合股票收益率分布的尖峰厚尾偏倚特性，给进一步的研究证券投资组合和金融风险管理带来了很大的便利。
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Since Leptokurtosis, skewness and fat-tail are always used to depict market risk, this paper introduces the improved Laplace distribution to risk management of stock portfolio. Empirical results show, improved Laplace distribution and asymmetric Laplace distribution are similar for estimating Leptokurtosis, while improved Laplace distribution is better for estimating skewness.In order to analyze the correlation between return distribution and volatility, the thesis uses ARCH-M Models to simulate the return series of China's Stock Market and developed markets ao as to discover the relation between investment return and time-varying risk.
对尖峰、厚尾、偏态的刻画有助于正确估计市场风险，本文将改进型Laplace分布引入到股票组合的风险管理中，实证结果发现，改进型Laplace分布和非对称Laplace分布对尖峰、厚尾的刻画效果接近；而非对称Laplace分布对负偏性考察不足，改进型Laplace分布的拟合结果能够准确地反映股指收益的负偏态，这也正是改进型Laplace分布相对于传统的非对称Laplace分布的优势所在。
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After the comparative analysis between Shanghai and Shenzhen stock market, we discovery that Shanghai Stock market and Shenzhen Stock market all display the strong cluster effect, leverage effect and leptokurtic effect.
对深、沪股市进行的比较分析发现，上海股市和深圳股市都表现出明显波动聚集性、非对称性和尖峰厚尾性。
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There were two great fluctuations and the stock returns were fluctuated,non-asymmetric and leptokurtic,being stable under 10%,5% and 1%.
股价收益率具有显著的波动集聚性，且表现出&尖峰、厚尾、非正态&的特征，在10%、5%、1%临界值水平下均存在显著的平稳性。
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Firstly,Shanghai and Shenzhen stock return time series do not follow normal distribution,it presents leptokurtic and fat-tails;secondly,it is characteristic of long memory,non-linear,persistence and Non-periodic Cycle,which are obviously fractal market Features;finally,we discuss the chaotic dynamic characteristics of tow market,witch can prove the fact of fractal market from the side.
首先，沪深股市的收益率时间序列波动不服从正态分布，而是存在尖峰、胖尾和右偏的特征；其次，序列具有状态持续性，统计自相似性，非周期循环长度，等分形特征；最后，对两市的混沌动力学特征进行了初步探讨，从侧面印证两市为分形市场。
- 更多网络解释与非尖峰的相关的网络解释 [注：此内容来源于网络，仅供参考]
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off-peak：非尖峰的
off-line 脱机离线 | off-peak 非尖峰的 | off-season 淡季
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nonstatistical behavior：非统计行为
nonspiking pulsed laser 无尖峰冲激光器 | nonstatistical behavior 非统计行为 | nonsynchronous 异步的
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spiking：尖峰
spikeless 非尖峰的 | spiking 尖峰 | spiking behaviour 尖峰性质