  The paper presents alternative statistical methods for biological dosimetry,
such as the Bayesian and Monte Carlo method. The classical Gaussian and robust
Bayesian fit algorithms for the linear, linear-quadratic as well as saturated
and critical calibration curves are described. The Bayesian model selection
algorithm for those curves is also presented. In addition, five methods of dose
estimation for a mixed neutron and gamma irradiation field were described: two
classical methods, two Bayesian methods and one Monte Carlo method. Bayesian
methods were also enhanced and generalized for situations with many types of
mixed radiation. All algorithms were presented in easy-to-use form, which can
be applied to any computational programming language. The presented algorithm
is universal, although it was originally dedicated to cytogenetic biological
dosimetry of victims of a nuclear reactor accident.
