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On estimating linear functional of the covariance function of a stationary process

 

作者: U. Haberzettl,  

 

期刊: Stochastic Analysis and Applications  (Taylor Available online 1997)
卷期: Volume 15, issue 5  

页码: 759-782

 

ISSN:0736-2994

 

年代: 1997

 

DOI:10.1080/07362999708809506

 

出版商: Marcel Dekker, Inc.

 

数据来源: Taylor

 

摘要:

A general estimator for linear functionals of the covariance function of a stationary process is investigated. The rate of convergence is obtained for a large class of functionals. The rate depends essentially on the functional. This yields an explanation of the different rates of convergence for various spectral estimates. The asymptotic normality of the estimator is proved under integrability conditions on the cumulant functions

 

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