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
Other Titles: Parametric variogram estimation
Authors: Jin, RenhaoKelly, Gabrielle E.
Permanent link: http://hdl.handle.net/10197/8237
Date: 16-Nov-2016
Online since: 2016-12-21T12:11:45Z
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.
Funding Details: Chinese Science Council (CSC) Government Scholarship
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 fittingMatérnVariogram cloudPractical rangeStudentized residuals
DOI: 10.1080/03610918.2015.1011785
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Mathematics and Statistics Research Collection

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