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
List of Figures
1.1 Before-experiment and after-experiment concepts.................................5
1.2 Observable, unobservable, and known quantities (OQs, UQs, KQs)
are identified. UQs are uncertain at the AE stage. Both OQs and
UQs are QoIs.........................................................................................6
1.3 (A) 2D joint distribution defined fo r {f, g}. (B) Values o f the joint
distribution for QoI g = 0.3. (C) Conditional distribution of f
conditioned on g = 0.3. The shapes of both distributions in (B)
and (C) are identical and they differ only by a scaling factor.............12
1.4 Three distributions extracted from the ...
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