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基于谱密度评价随机性
引用本文:朱利平,林龙年.基于谱密度评价随机性[J].应用概率统计,2009,25(2):185-191.
作者姓名:朱利平  林龙年
作者单位:1. 华东师范大学金融与统计学院,上海,200241
2. 上海市脑功能基因组学研究所,华东师范大学教育部重点实验室,上海,200062
基金项目:国家自然科学基金,ChenGuang project of Shanghai Education Development Foundation,young teachers in Shanghai universities,教育部博士基金 
摘    要:为了评价一个平稳过程的随机性, 我们基于谱密度提出了一个图方法. 当图中的散点呈现线性关系的时候, 我们可以判定这个序列是随机的. 为了说明这个思想, 我们用模拟的办法来检验伪随机数的随机性. 另外, 我们也用了一个实际数据来考察数据的相关性. 这两个例子都说明了我们的图方法是非常有效的.

关 键 词:指数分布  周期性  随机性  序列相关  谱密度.

Evaluating the Randomness Based on Spectral Density
ZHU LIPING,LIN LONGNIAN.Evaluating the Randomness Based on Spectral Density[J].Chinese Journal of Applied Probability and Statisties,2009,25(2):185-191.
Authors:ZHU LIPING  LIN LONGNIAN
Institution:School of Finance and Statistics, East China Normal University;Shanghai Institute of Brain Functional Genomics, and Key Laboratories of Chinese Ministry of Education
Abstract:To evaluate the randomness of a sequence, we propose a graphic approach based on spectral density. When the scatter points in the graph exhibit a linear structure, we conclude that the sequence is random. To illustrate the basic ideaof this method, one synthetic example is carried out to assess the randomness of pseudo-random sequence generator. This method is also applied to a real data to investigate the serial correlation among a sequence. Both examples have evidenced the efficacy of our proposed graphic approach.
Keywords:Exponential distribution  periodogram  randomness  serial correlation  spectral density
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