A comparison of sampling grids, cut off distance and type of residuals in parametric variogram estimation
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|Title:||A comparison of sampling grids, cut off distance and type of residuals in parametric variogram estimation||Authors:||Jin, Renhao
Kelly, Gabrielle E.
|Permanent link:||http://hdl.handle.net/10197/8237||Date:||16-Nov-2016||Abstract:||In spatial statistics, the correct identification of a variogram model when fitted to an empirical variogram depends on many factors. Here, simulation experiments show fitting based on the variogram cloud is preferable to that based on Matheron's and Cressie–Hawkins empirical variogram estimators. For correct model specification, a number of models should be fitted to the empirical variogram using a grid of cut-off values, and recommendations are given for best choice. A design where roughly half the maximum distance between points equals the practical range works well for correct variogram identification of any model, with varying nugget sizes and sample sizes.||Type of material:||Journal Article||Publisher:||Taylor and Francis||Journal:||Communications in Statistics - Simulation and Computation||Volume:||46||Issue:||3
|Start page:||1781||End page:||1795||Keywords:||Variogram model fitting; Matérn; Variogram cloud; Practical range; Studentized residuals||DOI:||10.1080/03610918.2015.1011785||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Mathematics and Statistics Research Collection|
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