Copyright © 2001 Published by Elsevier ScienceVARIOG2D is a Fortran-77 program that provides four basic operations for semi-variogram analysis: inference of the experimental semi-variogram, estimation of the variance–covariance matrix of the experimental semi-variogram, fitting a theoretical model by non-linear generalised least squares and estimation of the uncertainty of the semi-variogram model parameters. Although software for estimating the semi-variogram by the method of moments is widely available, there is no generally available software for assessing the uncertainty of the experimental semi-variogram. VARIOG2D provides the exact variance–covariance matrix of the experimental semi-variogram, which can be used for attaching standard ...
The empirical variogram is a standard tool in the investigation and modelling of spatial covariance...
In spatial statistics, the correct identification of a variogram model when fitted to an empirical v...
The paper deals with the problem of a statistical analysis of time series connected with the estimat...
Assessment of the sampling variance of the experimental variogram is an important topic in geostatis...
In applied geostatistics, the semivariogram is commonly estimated from experimental data, producing ...
The semivariogram model is the fundamental component in all geostatistical applications and its infe...
The bootstrap is a computer-intensive resampling method for estimating the uncertainty of complex st...
The aim of this note is to present a method to compute the empirical variogram of a regionalized var...
The variogram model is one of the most relevant parameters in geostatistical estimation and simulat...
<p>Spatial and temporal experimental semi-variograms calculated from the final Core model residuals,...
Abstract. Although stationary phenomena are characterized by their covariance, the structural tool i...
The development of methods to detect investigation of an intrinsically-stationary stochastic process...
The classical variogram estimator proposed by Matheron can be written as a quadratic form of the obs...
The aim of this work is to provide procedures to check if the theoretical semivariogram of an intrin...
<p><i>c</i><sub>0</sub> is an estimate of the nugget effect and <i>c</i><sub>0</sub>/<i>s</i><sup>2<...
The empirical variogram is a standard tool in the investigation and modelling of spatial covariance...
In spatial statistics, the correct identification of a variogram model when fitted to an empirical v...
The paper deals with the problem of a statistical analysis of time series connected with the estimat...
Assessment of the sampling variance of the experimental variogram is an important topic in geostatis...
In applied geostatistics, the semivariogram is commonly estimated from experimental data, producing ...
The semivariogram model is the fundamental component in all geostatistical applications and its infe...
The bootstrap is a computer-intensive resampling method for estimating the uncertainty of complex st...
The aim of this note is to present a method to compute the empirical variogram of a regionalized var...
The variogram model is one of the most relevant parameters in geostatistical estimation and simulat...
<p>Spatial and temporal experimental semi-variograms calculated from the final Core model residuals,...
Abstract. Although stationary phenomena are characterized by their covariance, the structural tool i...
The development of methods to detect investigation of an intrinsically-stationary stochastic process...
The classical variogram estimator proposed by Matheron can be written as a quadratic form of the obs...
The aim of this work is to provide procedures to check if the theoretical semivariogram of an intrin...
<p><i>c</i><sub>0</sub> is an estimate of the nugget effect and <i>c</i><sub>0</sub>/<i>s</i><sup>2<...
The empirical variogram is a standard tool in the investigation and modelling of spatial covariance...
In spatial statistics, the correct identification of a variogram model when fitted to an empirical v...
The paper deals with the problem of a statistical analysis of time series connected with the estimat...