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A ROLE FOR VARIOGRAMS
Author(s) -
Robinson G.K.
Publication year - 1990
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1990.tb01028.x
Subject(s) - autocovariance , variogram , variance (accounting) , mathematics , function (biology) , process (computing) , statistics , computer science , econometrics , kriging , mathematical analysis , fourier transform , accounting , evolutionary biology , business , biology , operating system
Summary In time series texts and journals, variograms are mentioned seldom, if at all. The autocovariance function is preferred. However there are situations where the variogram can be estimated with moderate precision but the autocovariance function cannot, because the variance of the process is not well known. If the problem to be solved does not require the process variance for its solution then it is generally more straightforward to use the variogram rather than the autocovariance function in solving this problem.