Limit search to available items
Book Cover
E-book
Author Crowder, Stephen, author

Title Introduction to statistics in metrology / Stephen Crowder, Collin Delker, Eric Forrest, Nevin Martin
Published Cham, Switzerland : Springer, [2020]

Copies

Description 1 online resource (xxi, 347 pages) : illustrations (chiefly color)
Contents Introduction -- Basic Measurement Concepts -- The International System of Units, Traceability, and Calibration -- Introduction to Statistics and Probability -- Measurement Uncertainty in Decision Making -- The Measurement Model and Uncertainty -- Analytical Methods for the Propagation of Uncertainties -- Monte Carlo Methods for the Propagation of Uncertainties -- Design of Experiments in Metrology -- Determining Uncertainties in Fitted Curves -- Special Topics in Metrology
Summary This book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties. It covers everything from fundamentals to more advanced special topics, each illustrated with case studies from the authors' work in the Nuclear Security Enterprise (NSE). The material provides readers with a solid understanding of how to apply the techniques to metrology studies in a wide variety of contexts. The volume offers particular attention to uncertainty in decision making, design of experiments (DOEx) and curve fitting, along with special topics such as statistical process control (SPC), assessment of binary measurement systems, and new results on sample size selection in metrology studies. The methodologies presented are supported with R script when appropriate, and the code has been made available for readers to use in their own applications. Designed to promote collaboration between statistics and metrology, this book will be of use to practitioners of metrology as well as students and researchers in statistics and engineering disciplines
Subject Metrology -- Statistical methods
Measurement -- Mathematical models
Espacios métricos -- Modelos matemáticos
Measurement -- Mathematical models
Genre/Form Electronic books
Form Electronic book
Author Delker, Collin, author
Forrest, Eric, author
Martin, Nevin, author
ISBN 9783030533298
3030533298