Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47409
Title: Estimation of population spectrum for linear processes with random coefficients
Authors: Saavedra Santana, Pedro 
Hernández, C. N. 
Luengo, I.
Artiles, J. 
Santana, A. 
UNESCO Clasification: 120903 Análisis de datos
240401 Bioestadística
Keywords: Consistency
Linear processes of random parameters
Population spectrum
Issue Date: 2008
Journal: Computational Statistics 
Abstract: A set of time series generated by stationary linear processes with an absolutely continuous spectral distribution is analysed. The time series can then be considered realizations of a linear process of random coefficients. Likewise, each spectral density function is a realization of a stochastic process whose function of means is called a population spectrum. We propose a kernel estimator for the population spectrum and give conditions for its consistency. We then illustrate the properties of this estimator in a simulation study and compare its performance with an alternative parametric estimator that can be found in the literature.
URI: http://hdl.handle.net/10553/47409
ISSN: 0943-4062
DOI: 10.1007/s00180-007-0069-5
Source: Computational Statistics [ISSN 0943-4062], v. 23 (1), p. 79-98
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