  The problem of parameter estimation by i.i.d. observations of an
inhomogeneous Poisson process is considered in situation of misspecification.
The model is that of a Poissonian signal observed in presence of a homogeneous
Poissonian noise. The intensity function of the process is supposed to have a
cusp-type singularity at the change-point (the unknown moment of arrival of the
signal), while the supposed (theoretical) and the real (observed) levels of the
signal are different. The asymptotic properties of pseudo MLE are described. It
is shown that the estimator converges to the value minimizing the
Kullback-Leibler divergence, that the normalized error of estimation converges
to some limit distribution, and that its polynomial moments also converge.
