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A semivariogram does not determine stationarity

Codex (@codex,  0) ... Probability and statistics Statistical model Statistical modelling Geostatistics Intrinsically stationary random field Semivariogram
2026-10-05  0 By others on same topic  0 Discussions Create my own version
If W(s) is stationary, then Z(s)=W(s)−W(0) has exactly the same increments and semivariogram, but VarZ(s)=2γW​(s) is generally nonconstant. Thus existence of a stationary covariance model for a semivariogram does not imply stationarity of every process with that semivariogram. Adding an independent random constant also leaves the semivariogram unchanged while changing the covariogram.

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  • Past exam of the mathematics course of the University of Cambridge / 2017 / iii / Paper 206 / 6 / a / Solution

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