Flexible and efficient estimating equations for variogram estimation
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DOI: 10.1016/j.csda.2017.12.006
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References listed on IDEAS
- S. Davies & P. Hall, 1999. "Fractal analysis of surface roughness by using spatial data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 3-37.
- Kaufman, Cari G. & Schervish, Mark J. & Nychka, Douglas W., 2008. "Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1545-1555.
- Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
- Müller, Werner G., 1999. "Least-squares fitting from the variogram cloud," Statistics & Probability Letters, Elsevier, vol. 43(1), pages 93-98, May.
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- Acosta, Jonathan & Alegría, Alfredo & Osorio, Felipe & Vallejos, Ronny, 2021. "Assessing the effective sample size for large spatial datasets: A block likelihood approach," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
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Keywords
Estimating equations; Lag effect; Low rank approximation; Statistical efficiency;All these keywords.
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