RE: Question about concatenating probability distributions

2001-12-10 Thread David Heiser
RE: The Poisson process and Lognormal action time. This kind of problem arises a lot in the actuarial literature (a process for the number of claims and a process for the claim size), and the Poisson and the lognormal have been used in this context - it might be worth your while to look there

Re: Question about concatenating probability distributions

2001-12-09 Thread Glen
Jacek Gomoluch [EMAIL PROTECTED] wrote in message news:9uqkmv$954$[EMAIL PROTECTED]... In a stochastic process the number of customers which are arriving at a server (during a time intervall) is desribed by a Poisson distribution: P(n)=exp(-v) * (v^n)/(n!) Each arriving customer has a

Question about concatenating probability distributions

2001-12-07 Thread Jacek Gomoluch
In a stochastic process the number of customers which are arriving at a server (during a time intervall) is desribed by a Poisson distribution: P(n)=exp(-v) * (v^n)/(n!) Each arriving customer has a task to be carried out of which the size (in units) is described by a lognormal distribution:

Re: Question about concatenating probability distributions

2001-12-07 Thread Peter Rabinovitch
If the poisson arrival process and the work process are independent, then have a look at Wald's law in (almost) any probability book. For example, the mean amount of work is then simply the product of the means of each RV, in your case: E(amount of work in a fixed time interval)=v*E(U) where U