  The dynamical likelihood method for analysis of high energy collider events
is reformulated. The method is to reconstruct the elementary parton state from
observed quantities. The basic assumption is that each of final state partons
occupies a unit phase space. The parton kinematics is statistically
reconstructed using (a) virtual masses of resonant partons and (b) parton
kinematic quantities inferred from observed quantities. Generation of (b) is
made with the transfer function which is the probability function for parton
kinematics from a given set of observables. Corresponding to the unit parton
phase space, the transfer variable spaces are also quantized. The likelihood of
the reconstructed state is defined by the Poisson probability for a single
event with the expected number of event that is the cross section per unit
phase space times a luminosity factor. Applications of the method to selection
of process, parton-observable identification, determinations of parton
kinematics and dynamical parameters are discussed.
