Variogram analysis of stochastic processes

Properties of the semivariogram of an intrinsically stationary continuous-time random process with finite second moment are investigated. A necessary and sufficient conditions for a continuous function to be semivariogram are found. Confidence intervals for the semivariogram of Gaussian stationary s...

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Bibliographic Details
Main Author: Tatsiana V. Tsekhavaya
Format: Article
Language:Belarusian
Published: Belarusian State University 2018-01-01
Series:Журнал Белорусского государственного университета: Математика, информатика
Subjects:
Online Access:https://journals.bsu.by/index.php/mathematics/article/view/745
Description
Summary:Properties of the semivariogram of an intrinsically stationary continuous-time random process with finite second moment are investigated. A necessary and sufficient conditions for a continuous function to be semivariogram are found. Confidence intervals for the semivariogram of Gaussian stationary stochastic process are defined. Properties of ꭓ2-distribution are used for constructing confidence intervals for semivariogram. The proposed confidence intervals are more informative compared with point estimates of the semivariogram.
ISSN:2520-6508
2617-3956