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Wavelet Density Estimation and Statistical Evidences Role for a GARCH Model in the Weighted Distribution 被引量:1

Wavelet Density Estimation and Statistical Evidences Role for a GARCH Model in the Weighted Distribution
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摘要 We consider n observations from the GARCH-type model: Z = UY, where U and Y are independent random variables. We aim to estimate density function Y where Y have a weighted distribution. We determine a sharp upper bound of the associated mean integrated square error. We also make use of the measure of expected true evidence, so as to determine when model leads to a crisis and causes data to be lost. We consider n observations from the GARCH-type model: Z = UY, where U and Y are independent random variables. We aim to estimate density function Y where Y have a weighted distribution. We determine a sharp upper bound of the associated mean integrated square error. We also make use of the measure of expected true evidence, so as to determine when model leads to a crisis and causes data to be lost.
出处 《Applied Mathematics》 2013年第2期410-416,共7页 应用数学(英文)
关键词 Density Estimation GARCH Model WEIGHTED Distribution WAVELETS Statistical Evidences STRONGLY MIXING Density Estimation GARCH Model Weighted Distribution Wavelets Statistical Evidences Strongly Mixing
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