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.

Content:
Chapter 1 The Statistical Nature of Radiation, Emission, and Interaction (pages 1–13):
Chapter 2 Radioactive Decay (pages 15–28):
Chapter 3 Sample Space, Events, and Probability (pages 29–49):
Chapter 4 Probability Distributions and Transformations (pages 51–89):
Chapter 5 Discrete Distributions (pages 91–117):
Chapter 6 Continuous Distributions (pages 119–161):
Chapter 7 Parameter and Interval Estimation (pages 163–198):
Chapter 8 Propagation of Error (pages 199–214):
Chapter 9 Measuring Radioactivity (pages 215–229):
Chapter 10 Statistical Performance Measures (pages 231–270):
Chapter 11 Instrument Response (pages 271–292):
Chapter 12 Monte Carlo Methods and Applications in Dosimetry (pages 293–335):
Chapter 13 Dose–Response Relationships and Biological Modeling (pages 337–351):
Chapter 14 Regression Analysis (pages 353–385):
Chapter 15 Introduction to Bayesian Analysis (pages 387–422):