Dimensions
163 x 239 x 17mm
Second Edition.
The statistical methods used to evaluate and compare different methods of measurement are a vital common component of all methods of scientific research. This book provides a practically oriented guide to the statistical models used in the evaluation of measurement errors with a wide variety of illustrative examples taken from across the sciences.
After introducing basic concepts, such as precision, reproducibility and reliability, a detailed discussion of the sources of variability of measurements and associated variance components models is provided. The central chapters deal with the design and analysis of method comparison studies (concentrating primarily on quantitative measurements) ranging from simple paired comparisons to more complex studies involving three or more methods. This leads on to a review of methods for categorical measures.
The book:
- Restricts theory to that absolutely necessary to understand the role of the statistical models and the associated methods of analysis.
- Concentrates on the application of statistical methods to enhance the understanding of the measurement process and to the possible sources of error.
- Is written by an applied statistician with a long-standing interest in measurement error modelling.
