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Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

Autor Scott Pardo
en Limba Engleză Hardback – 19 sep 2013
In engineering and quality control, various situations, including process validation and design verification, require equivalence and noninferiority tests. Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers presents methods for using validation and verification test data to demonstrate equivalence and noninferiority in engineering and applied science.




The book covers numerous tests drawn from the author’s more than 30 years of work in a range of industrial settings. It provides computational formulas for the tests, methods to determine or justify sample sizes, and formulas to calculate power and operating characteristic curves. The methods are accessible using standard statistical software and do not require complicated programming. The book also includes computer code and screen shots for SAS, R, and JMP.


This book provides you with a guide to performing validation and verification tests that demonstrate the adequacy of your process, system, or product. It will help you choose the best test for your application.
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Specificații

ISBN-13: 9781466586888
ISBN-10: 1466586885
Pagini: 232
Ilustrații: 84 b/w images and 3 tables
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Professional Practice & Development

Cuprins

Proportions and Binomial Random Variables. Means. Variances (Standard Deviations) and Coefficients of Variation. Exponential Rate Parameters. Capability Indices. Multivariate. Reliability. Sample-Based Criteria. Comparing Sequences and Curves. Calculating Sample Sizes. Computer Code—Power Curves. References. Appendices.

Descriere

This book presents methods for using validation and verification test data to demonstrate equivalence and noninferiority in engineering and applied science. It covers numerous tests drawn from the author’s more than 30 years of work in a range of industrial settings. The book provides computational formulas for the tests, methods to determine or justify sample sizes, and formulas to calculate power and operating characteristic curves. The methods are accessible using standard statistical software and do not require complicated programming.