Flexible and efficient estimating equations for variogram estimation

Ying Sun, Xiaohui Chang and Yongtao Guan

Computational Statistics & Data Analysis, 2018, vol. 122, issue C, 45-58

Abstract: Variogram estimation plays a vastly important role in spatial modeling. Different methods for variogram estimation can be largely classified into least squares methods and likelihood based methods. A general framework to estimate the variogram through a set of estimating equations is proposed. This approach serves as an alternative approach to likelihood based methods and includes commonly used least squares approaches as its special cases. The proposed method is highly efficient as a low dimensional representation of the weight matrix is employed. The statistical efficiency of various estimators is explored and the lag effect is examined. An application to a hydrology data set is also presented.

Keywords: Estimating equations; Lag effect; Low rank approximation; Statistical efficiency (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:122:y:2018:i:c:p:45-58

DOI: 10.1016/j.csda.2017.12.006

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