Abstract
The paper examines symmetric isofactorial models. A necessary and sufficient condition for a bivariate stationary random function to be isofactorial is given. Using this characterization, a procedure for checking whether an isofactorial model is appropriate is outlined. If data indicates that an isofactorial model is adequate, the procedure also provides a method for identifying the factors of the model. The paper concentrates on the case where Z(x) takes values 0, 1, 2,..., N and the general case is discussed briefly.
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Subramanyam, A., Pandalai, H.S. A Characterization of Symmetric Isofactorial Models. Mathematical Geology 33, 103–114 (2001). https://doi.org/10.1023/A:1007566427583
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DOI: https://doi.org/10.1023/A:1007566427583