by Kahle, Waltraud, Lehmann, Axel.
Series: 1998-06, Preprints
In this paper we describe statistical methods for estimating
the parameters of damage processes if in one realization both process
increments and a failure time are observable. The likelihood function
for such observations is developed and point estimates are
compared with those for other models.
Process observation at discrete time points, likelihood function, parameter estimation, damage processes
This paper was published in:
Kahle, W.; v. Collani,