Statistical Methods for Quality Engineering
A Practical Guide for Quality Professionals
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Beschreibung
This book equips the quality engineer with tools to help ensure compliance and quality and is easily accessible to anyone with lower-division math. Most texts on statistics for quality assurance and control, contain only formulas with little explanation as to how those formulas came to be. Quality Engineers are often trained in some engineering discipline and then thrust into the world of quality. They know how to design a circuit, a mechanical device or a chemical process or maybe even a facility, but they are not even sure they know what it means to engineer quality.
This text goes beyond simply giving rules or formulas. It provides the engineer with some insight as to statistical methods they might encounter and are required to evaluate the appropriateness of those methods. This goal reaches beyond simply determining whether a product or process complies with specifications or regulatory documents.
This book equips the quality engineer with tools to help ensure compliance and quality and is easily accessible to anyone with lower-division math. Most texts on statistics for quality assurance and control, contain only formulas with little explanation as to how those formulas came to be. Quality Engineers are often trained in some engineering discipline and then thrust into the world of quality. They know how to design a circuit, a mechanical device or a chemical process or maybe even a facility, but they are not even sure they know what it means to engineer quality.
This text goes beyond simply giving rules or formulas. It provides the engineer with some insight as to statistical methods they might encounter and are required to evaluate the appropriateness of those methods. This goal reaches beyond simply determining whether a product or process complies with specifications or regulatory documents.
Accessible to anyone with lower-division math for engineers Equips the quality engineer with tools to help ensure compliance and quality Encourages to think beyond compliance or regulation
Autor*in
Scott A. Pardo
Themen in »Statistical Methods for Quality Engineering«
statistical methods probability acceptance sampling empirical modeling mathematical review process capability experimental design R code quality engineering