Reducing fluctuations in the sample variogram

Emery, X

Abstract

In the analysis of regionalized data, irregular sampling patterns are often responsible for large deviations (fluctuations) between the theoretical and sample semi-variograms. This article proposes a new semi-variogram estimator that is unbiased irrespective of the actual multivariate distribution of the data (provided an assumption of stationarity) and has the minimal variance under a given multivariate distribution model. Such an estimator considerably reduces fluctuations in the sample semi-variogram when the data are strongly correlated and clustered in space, and proves to be robust to a misspecification of the multivariate distribution model. The traditional and proposed semi-variogram estimators are compared through an application to a pollution dataset. © Springer-Verlag 2006.

Más información

Título según WOS: Reducing fluctuations in the sample variogram
Título según SCOPUS: Reducing fluctuations in the sample variogram
Título de la Revista: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volumen: 21
Número: 4
Editorial: Springer
Fecha de publicación: 2007
Página de inicio: 391
Página final: 403
Idioma: English
URL: http://link.springer.com/10.1007/s00477-006-0072-3
DOI:

10.1007/s00477-006-0072-3

Notas: ISI, SCOPUS