Measurement Theory for Engineers

Inbunden, Engelska, 2003

AvIlya Gertsbakh

689 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Häftad

699 kr

Skickas inom 10-15 vardagar

The emphasis of this textbook is on industrial applications of Statistical Measurement Theory. It deals with the principal issues of measurement theory, is concise and intelligibly written, and to a wide extent self-contained. Difficult theoretical issues are separated from the mainstream presentation. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. Each chapter concludes with a set of exercises of increasing difficulty, mostly with solutions. The book is meant as a text for graduate students and a reference for researchers and industrial experts specializing in measurement and measurement data analysis for quality control, quality engineering and industrial process improvement using statistical methods. Knowledge of calculus and fundamental probability and statistics is required for the understanding of its contents.

Produktinformation

Utgivningsdatum2003-05-21
Mått155 x 235 x 14 mm
Vikt424 g
FormatInbunden
SpråkEngelska
Antal sidor150
Upplaga2003
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540000815

Tillhör följande kategorier

1 Introduction.- 2 Mean and Standard Deviation.- 3 Comparing Means and Variances.- 4 Sources of Uncertainty: Process and Measurement Variability.- 5 Measurement Uncertainty: Error Propagation Formula.- 6 Calibration of Measurement Instruments.- 7 Collaborative Studies.- 8 Measurements in Special Circumstances.- Answers and Solutions to Exercises.- Appendix A: Normal Distribution.- Appendix B: Quantiles of the Chi-Square Distribution.- Appendix C: Critical Values of the F—distribution.- References.

From the reviews: "This textbook deals with the principal issues of measurement theory. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. ... This book is intended as a text for graduate students and a reference for researchers and industrial experts specializing in measurement data analysis for quality control and industrial process improvement." (Ivan Krivy, Zentralblatt MATH, Vol. 1018, 2003)