Numerical Approximation of Some Infinite Gaussian Series and Integrals
Articles
M. Stoncelis
Šiauliai University, Lithuania
M. Vaičiulis
Šiauliai University; Institute of Mathematics and Informatics, Lithuania
Published 2008-07-25
https://doi.org/10.15388/NA.2008.13.3.14564
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Keywords

increment ratio statistic
Gaussian integrals
Gaussian process
numerical approximation

How to Cite

Stoncelis, M. and Vaičiulis, M. (2008) “Numerical Approximation of Some Infinite Gaussian Series and Integrals”, Nonlinear Analysis: Modelling and Control, 13(3), pp. 397–415. doi:10.15388/NA.2008.13.3.14564.

Abstract

The paper deals with numerical computation of the asymptotic variance of the so-called increment ratio (IR) statistic and its modifications. The IR statistic is useful for estimation and hypothesis testing on fractional parameter H ∈ (0, 1) of random process (time series), see Surgailis et al. [1], Bardet and Surgailis [2]. The asymptotic variance of the IR statistic is given by an infinite integral (or infinite series) of 4-dimensional Gaussian integrals which depend on parameter H. Our method can be useful for numerical computation of other similar slowly convergent Gaussian integrals/series. Graphs and tables of approximate values of the variances σp2(H) and σˆp2(H), p = 1, 2 are included.

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