To aid the analysis of two-dimensional stationary processes, three different models are considered, derived from the second-order stochastic partial differential equation. Their correlation functions are calculated, for fitting data in the form of a correlogram to the model. The corresponding Green functions describe the physical nature of the models, and in particular distinguish between space-like and time-like axes.

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spacelike and timelike axes model correlogram analysis of twodimensional stationary processes secondorder stochastic partial differential equation correlation functions the models

V. HEINE,.MODELS FOR TWO-DIMENSIONAL STATIONARY STOCHASTIC PROCESSES. 42 (1-2),170-178.

V. HEINE,"MODELS FOR TWO-DIMENSIONAL STATIONARY STOCHASTIC PROCESSES" 42

V. HEINE,"MODELS FOR TWO-DIMENSIONAL STATIONARY STOCHASTIC PROCESSES"