  This paper studies a method to estimate the parameters governing the
distribution of a stationary marked Gibbs point process. This procedure, known
as the Takacs-Fiksel method, is based on the estimation of the left and right
hand sides of the Georgii-Nguyen-Zessin formula and leads to a family of
estimators due to the possible choices of test functions. We propose several
examples illustrating the interest and flexibility of this procedure. We also
provide sufficient conditions based on the model and the test functions to
derive asymptotic properties (consistency and asymptotic normality) of the
resulting estimator. The different assumptions are discussed for exponential
family models and for a large class of test functions. A short simulation study
is proposed to assess the correctness of the methodology and the asymptotic
results.
