9780898715880-0898715881-Design and Analysis of Gauge R and R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models (ASA-SIAM Series on Statistics and Applied Probability, Series Number 17)

Design and Analysis of Gauge R and R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models (ASA-SIAM Series on Statistics and Applied Probability, Series Number 17)

ISBN-13: 9780898715880
ISBN-10: 0898715881
Author: Douglas C. Montgomery, Connie M. Borror, Richard K. Burdick
Publication date: 1987
Publisher: Society for Industrial and Applied Mathematics
Format: Paperback 220 pages
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Book details

ISBN-13: 9780898715880
ISBN-10: 0898715881
Author: Douglas C. Montgomery, Connie M. Borror, Richard K. Burdick
Publication date: 1987
Publisher: Society for Industrial and Applied Mathematics
Format: Paperback 220 pages

Summary

Design and Analysis of Gauge R and R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models (ASA-SIAM Series on Statistics and Applied Probability, Series Number 17) (ISBN-13: 9780898715880 and ISBN-10: 0898715881), written by authors Douglas C. Montgomery, Connie M. Borror, Richard K. Burdick, was published by Society for Industrial and Applied Mathematics in 1987. With an overall rating of 3.5 stars, it's a notable title among other Industrial, Manufacturing & Operational Systems (Engineering) books. You can easily purchase or rent Design and Analysis of Gauge R and R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models (ASA-SIAM Series on Statistics and Applied Probability, Series Number 17) (Paperback) from BooksRun, along with many other new and used Industrial, Manufacturing & Operational Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.39.

Description

This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model.

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