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Chromatin pattern by variogram analysis
Microscopy Research and Technique, 1997Many cytological processes such as cell proliferation, differentiation, transformation, apoptosis, etc., are accompanied by specific chromatin changes, usually identified on the basis of the relative content of euchromatin and heterochromatin. In order to achieve a quantitative, non-subjective evaluation of the chromatin pattern, two different ...
DIAZ, GIACOMO +3 more
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On nonparametric variogram estimation
Journal of the Korean Statistical Society, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Tae Yoon, Park, Jeong-Soo
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Trimmed Spatio-Temporal Variogram Estimator
2022The spatio-temporal variogram is the key element in spatiotemporal prediction based on kriging, but the classical estimator of this parameter is very sensitive to outliers. In this contributed paper we propose a trimmed estimator of the spatio-temporal variogram as a robust estimator.
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Cross-Validation and Variogram Estimation
Theory of Probability & Its Applications, 1993One of the methods used for the interpolation of spatially correlated data is known as kriging, which is a regression technique. Consider a model of the form \(Z(x)\), a random function defined in \(p\)-dimensional space satisfying a weak stationarity condition as follows: \[ \begin{aligned} & E[Z(x + h) - Z(x)] = 0 \text{ for all } x, h;\tag\text{i}\\
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Calculation of Uncertainty in the Variogram
Mathematical Geology, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ortiz C., Julián, Deutsch, Clayton V.
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Fast variogram computation with FFT
Computers & Geosciences, 1996Abstract Two programs are presented to compute direct- and cross-variograms, direct and cross-covariograms, and pseudo-cross-variograms. The programs are written in MATLAB and are based on the Fast Fourier Transform algorithm (FFT). The programs accept complete, or incomplete, regular grid data.
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2009
Geostatistics is a popular class of statistical methods for estimating, or predicting, the value of a continuous spatial process at unobserved locations given the value of the process at a set of known locations. Spatial prediction of this sort is typically performed using the method known as kriging, which provides estimates that are optimized over ...
Calder, Catherine, Cressie, Noel A
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Geostatistics is a popular class of statistical methods for estimating, or predicting, the value of a continuous spatial process at unobserved locations given the value of the process at a set of known locations. Spatial prediction of this sort is typically performed using the method known as kriging, which provides estimates that are optimized over ...
Calder, Catherine, Cressie, Noel A
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Spatial Breakdown Point of Variogram Estimators
Mathematical Geology, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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1995
The multivariate regionalization of a set of random functions can be represented with a spatial multivariate linear model. The associated multivariate nested variogram model is easily fitted to the multivariate data. Several coregionalization matrices describing the multivariate correlation structure at different scales of a phenomenon result from the ...
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The multivariate regionalization of a set of random functions can be represented with a spatial multivariate linear model. The associated multivariate nested variogram model is easily fitted to the multivariate data. Several coregionalization matrices describing the multivariate correlation structure at different scales of a phenomenon result from the ...
openaire +1 more source