Dear All,
Apologies if my questions are too basic for this list.
I am given a set of data corresponding to list of detection times (real,
non-integer numbers in general) for some events, let us say nuclear
decays to fix the ideas.
It is a small dataset, corresponding to about 400 nuclear decay times.
I would like to test the hypothesis that these decay times are
Poissonian-distributed.
What is the best day of dealing with the data? Should I consider the
cumulative number of detections vs time, the time intervals between two
consecutive detections vs time or something else?
Many thanks
Lorenzo
______________________________________________
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.
