  Stochastic partial differential equations of second order with two unknown
parameters are studied. Based on ergodicity, two suitable families of minimum
constrast estimators are introduced. Strong consistency and asymptotic
normality of estimators are proved. The results are applied to hyperbolic
equations perturbed by Brownian noise.
