The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
A sample of i.i.d. continuous time Markov chains being defined, the sum over each component of a real function of the state is considered. For this functional, a central limit theorem for the first hitting time of a prescribed level is proved. The result extends the classical central limit theorem for order statistics. Various reliability models are presented as examples of applications.
A sample of i.i.d. continuous time Markov chains being
defined, the sum over each component of a real function of the
state is considered. For this functional, a central limit theorem
for the first hitting time of a prescribed level is proved.
The result extends the classical central limit theorem for order statistics.
Various reliability models are presented as examples of applications.
Download Results (CSV)