Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

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Scott Pardo

Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

Scott Pardo

$315

Hardback

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English

CRC Press Inc
19 September 2013

Production & quality control management; Probability & statistics

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.

By: Scott Pardo
Imprint: CRC Press Inc
Country of Publication: United States
Dimensions: Height: 234mm, Width: 156mm, Spine: 18mm
Weight: 453g
ISBN: 9781466586888
ISBN 10: 1466586885
Pages: 232
Publication Date: 19 September 2013
Audience: Professional and scholarly , Professional and scholarly , Undergraduate , Undergraduate
Format: Hardback
Publisher's Status: Active

Pardo, Scott

Reviews for Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers

The author has extensive experience as a professional statistician working in a range of industrial settings for more than 30 years. The book covers a variety of tests that arise in real problems that the author has encountered during his practice. This will be of great value to those seeking guidance in solving similar problems. . . The data examples used to illustrate the tests and the software provided to implement the tests make the book a good resource for those who are looking for appropriate tests for their own applications and for those who do not have substantial hands-on data analysis experience. ~The American Statistician