Hello, If all I have access to is an empirically calculated hazard function, is it possible to compute an approximate value for the mean lifetime?
I know that if the hazard function is essentially constant, the mean lifetime is 1/hazard rate. But if I'm confident that the empirical hazard function is not constant, I'm not sure how to go about calculating an estimate of mean lifetime. For instance, suppose someone goes about generating a muhaz object by doing the following: > haz <- muhaz(runif(1000,30,40)) and then gives me only the haz object. I can plot it, and see pretty quickly that it isn't constant. The person who generated the muhaz object would know that the average lifetime is approx. 35. Is there anyway that I can learn that from looking only haz? Does the process for doing this differ based on whether the lifetimes are generated from a well-known distribution? Thanks for your help, Alan -- Alan Cox Director, User Experience iContact, Corp. p 919.459.1038 f 919.287.2475 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
