Statistical methods in radiation physics

"This statistics textbook, with particular emphasis on radiation protection and dosimetry, deals with statistical solutions to problems inherent in health physics measurements and decision making. The authors begin with a description of our current understanding of the statistical nature of phy...

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Bibliographic Details
Main Authors: Turner, J. E. (James Edward)
Group Author: Downing, D. J.; Bogard, James S.
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9783527646548
Summary: "This statistics textbook, with particular emphasis on radiation protection and dosimetry, deals with statistical solutions to problems inherent in health physics measurements and decision making. The authors begin with a description of our current understanding of the statistical nature of physical processes at the atomic level, including radioactive decay and interactions of radiation with matter. Examples are taken from problems encountered in health physics, and the material is presented such that health physicists and most other nuclear professionals will more readily understand the application of statistical principles in the familiar context of the examples. Problems are presented at the end of each chapter, with solutions to selected problems provided online. In addition, numerous worked examples are included throughout the text."--
Carrier Form: 1 online resource (xiv, 452 pages) : illustrations
Bibliography: Includes bibliographical references (pages 441-443) and index.
ISBN: 9783527646548 (electronic bk.)
352764654X (electronic bk.)
9783527646579 (electronic bk.)
3527646574 (electronic bk.)
9783527646562
3527646566
9783527646555
3527646558
Index Number: QC795
CLC: O572.2
Contents: The statistical nature of radiation, emission, and interaction -- Radioactive decay -- Sample space, events, and probability -- Probability distributions and transformations -- Discrete distributions -- Continuous distributions -- Parameter and interval estimation -- Propagation of error -- Measuring radioactivity -- Statistical performance measures -- Instrument response -- Monte Carlo methods and applications in dosimetry -- Dose-response relationships and biological modeling -- Regression analysis -- Introduction to Bayesian analysis.