01294nas a2200169 4500008004100000245007300041210006900114260000900183300001000192490000800202520073100210653002300941100001400964700001900978700001800997856010901015 2018 eng d00aFlexible and Efficient Estimating Equations for Variogram Estimation0 aFlexible and Efficient Estimating Equations for Variogram Estima c2018 a45-580 v1223 aVariogram 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.10aBusiness Analytics1 aSun, Ying1 aChang, Xiaohui1 aGuan, Yongtao uhttps://business.oregonstate.edu/biblio/flexible-and-efficient-estimating-equations-variogram-estimation