TY - JOUR
T1 - Flexible and Efficient Estimating Equations for Variogram Estimation
JF - Computational Statistics and Data Analysis
Y1 - 2018
A1 - Sun,Ying
A1 - Chang,Xiaohui
A1 - Guan,Yongtao
KW - Business Analytics
AB - 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.
VL - 122
U2 - a
U4 - 141504911360
ID - 141504911360
ER -