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Introduction to statistics in metrology

Crowder, Stephen.

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Introduction to statistics in metrology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to statistics in metrology/ by Stephen Crowder ... [et al.].
other author:	Crowder, Stephen.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xxi, 347 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Basic Concepts -- 3. The International System of Units (SI), Traceability, and Calibration -- 4. Introduction to Statistics and Probability -- 5. Measurement Uncertainty in Decision Making -- 6. The Measurement Model and Uncertainty -- 7. Analytical Methods for the Propagation of Uncertainties -- 8. Monte Carlo Methods for the Propagation of Uncertainties -- 9. Determining Uncertainties in Fitted Curves -- 10. Design of Experiments in Metrology -- 11. Special Topics in Metrology -- 12. Summary and Acknowledgments.
Contained By:	Springer Nature eBook
Subject:	Metrology - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-030-53329-8
ISBN:	9783030533298

Introduction to statistics in metrology
Introduction to statistics in metrology[electronic resource] /by Stephen Crowder ... [et al.]. - Cham :Springer International Publishing :2020. - xxi, 347 p. :ill., digital ;24 cm.

1. Introduction -- 2. Basic Concepts -- 3. The International System of Units (SI), Traceability, and Calibration -- 4. Introduction to Statistics and Probability -- 5. Measurement Uncertainty in Decision Making -- 6. The Measurement Model and Uncertainty -- 7. Analytical Methods for the Propagation of Uncertainties -- 8. Monte Carlo Methods for the Propagation of Uncertainties -- 9. Determining Uncertainties in Fitted Curves -- 10. Design of Experiments in Metrology -- 11. Special Topics in Metrology -- 12. Summary and Acknowledgments.

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.

ISBN: 9783030533298

Standard No.: 10.1007/978-3-030-53329-8doiSubjects--Topical Terms:

3528147
Metrology
--Statistical methods.

LC Class. No.: QA465

Dewey Class. No.: 530.8

Introduction to statistics in metrology
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245 0 0 $a Introduction to statistics in metrology $h [electronic resource] / $c by Stephen Crowder ... [et al.].
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300 $a xxi, 347 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction -- 2. Basic Concepts -- 3. The International System of Units (SI), Traceability, and Calibration -- 4. Introduction to Statistics and Probability -- 5. Measurement Uncertainty in Decision Making -- 6. The Measurement Model and Uncertainty -- 7. Analytical Methods for the Propagation of Uncertainties -- 8. Monte Carlo Methods for the Propagation of Uncertainties -- 9. Determining Uncertainties in Fitted Curves -- 10. Design of Experiments in Metrology -- 11. Special Topics in Metrology -- 12. Summary and Acknowledgments.
520 $a 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.
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650 1 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
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650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Electrical Engineering. $3 1001838
650 2 4 $a Mechanical Engineering. $3 891038
700 1 $a Crowder, Stephen. $3 3528146
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