Skip to Main Content
Statistical Computing in Nuclear Imaging
book

Statistical Computing in Nuclear Imaging

by Arkadiusz Sitek
December 2014
Intermediate to advanced content levelIntermediate to advanced
275 pages
9h 12m
English
CRC Press
Content preview from Statistical Computing in Nuclear Imaging
A
Probability distributions
We recall in this se ction common proba bility distributions used in this book.
We also provide the means, variances, and skewness (for univariate distribu-
tions) of those distributions. The e xtensive review of proba bility distributions
is provided by Johnson [50, 51] and Johnson et al. [52, 53].
A.1 UNIVARIATE DISTRIBUTIONS
A.1.1 BINOMIAL DISTRIBUTION
Binomial distribution describes the number of successes g in n Bernoulli trials
with p being the chance of success
B(g|n, p) =
n
g
p
g
(1 p)
ng
(A.1)
Mean=np, variance=np(1 p), skewness=
12p
np(1p)
.
A.1.2 GAMMA DISTRIBUTION
Gamma distribution is important in applications of ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Industrial Statistics with Minitab

Industrial Statistics with Minitab

Pere Grima Cintas, Lluis Marco Almagro, Xavier Tort-Martorell Llabres
Learning Bayesian Models with R

Learning Bayesian Models with R

Hari Manassery Koduvely

Publisher Resources

ISBN: 9781439849347