Dear James,
If I understand correctly you are looking for a single rate parameter to
describe the pixels in a block. It would also be possible to estimate the rates
for individual pixels or estimate the thickness of the sample from the counts
if you have a good model, that is where Bayesian
Thank you everyone for your thoughtful and thought-provoking responses!
But, I am starting to think I was not as clear as I could have been
about my question. I am actually concerning myself with background, not
necessarily Bragg peaks. With Bragg photons you want the sum, but for
Dear Kay,
Yes, I agree. I am sorry I was too focused on the errors. The question I was
trying to address is how useful frequentist error estimates are when the
observed counts are 0. I guess both frequentists and Bayesians agree on the
definition of descriptive statistics when the entire
Hi Rangana
That's correct. To get the true population expectation and variance you
would need to sample the entire population, i.e. all the possible values
that the random variable can take at its expected frequency, though in
practice that's obviously not feasible and one has to be satisfied
If a random variable gets the same value in its all occurrences, its
variance should be zero, isn't it? Or do I not understand that?
Rangana.
On Sat, 16 Oct 2021, 08:49 Kay Diederichs,
wrote:
> Dear Gergely,
>
> with " 10 x 10 patch of pixels ", I believe James means that he observes
> 100
Dear Gergely,
with " 10 x 10 patch of pixels ", I believe James means that he observes 100
neighbouring pixels each with 0 counts. Thus the frequentist view can be taken,
and results in 0 as the variance, right?
best,
Kay
On Fri, 15 Oct 2021 21:07:26 +, Gergely Katona wrote:
>Dear
