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- W4248367042 abstract "The intrinsic random functions (IRF) are a particular case of the Guelfand generalized processes with stationary increments. They constitute a much wider class than the stationary RF, and are used in practical applications for representing non-stationary phenomena. The most important topics are: existence of a generalized covariance (GC) for which statistical inference is possible from a unique realization; theory of the best linear intrinsic estimator (BLIE) used for contouring and estimating problems; the turning bands method for simulating IRF; and the models with polynomial GC, for which statistical inference may be performed by automatic procedures." @default.
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- W4248367042 date "1973-12-01" @default.
- W4248367042 modified "2023-10-10" @default.
- W4248367042 title "The intrinsic random functions and their applications" @default.
- W4248367042 doi "https://doi.org/10.1017/s0001867800039379" @default.
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