Challenges in Analytical Quality Assurance

Nonfiction, Science & Nature, Science, Chemistry, Analytic, Biological Sciences, Environmental Science
Cover of the book Challenges in Analytical Quality Assurance by Jürgen W. Einax, Manfred Reichenbächer, Springer Berlin Heidelberg
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Author: Jürgen W. Einax, Manfred Reichenbächer ISBN: 9783642165955
Publisher: Springer Berlin Heidelberg Publication: February 16, 2011
Imprint: Springer Language: English
Author: Jürgen W. Einax, Manfred Reichenbächer
ISBN: 9783642165955
Publisher: Springer Berlin Heidelberg
Publication: February 16, 2011
Imprint: Springer
Language: English

Working in the lab, but unsure what your results actually mean? Would you like to know how to apply trueness tests, calculate standard deviations, estimate measurement uncertainties or test for linearity? This book offers you a problem-based approach to analytical quality assurance (AQA). After a short introduction into required fundamentals, various topics such as statistical tests, linear regression and calibration, tool qualification or method validation are presented in the form of exercises for self-study. Solutions are provided in a clear step-by-step manner. Interactive Excel-sheets are available as Extra Materials for trying out the various concepts.

For professionals as well as graduate students confronted with analytical quality assurance for the first time, this book will be the clue to meeting such challenges.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Working in the lab, but unsure what your results actually mean? Would you like to know how to apply trueness tests, calculate standard deviations, estimate measurement uncertainties or test for linearity? This book offers you a problem-based approach to analytical quality assurance (AQA). After a short introduction into required fundamentals, various topics such as statistical tests, linear regression and calibration, tool qualification or method validation are presented in the form of exercises for self-study. Solutions are provided in a clear step-by-step manner. Interactive Excel-sheets are available as Extra Materials for trying out the various concepts.

For professionals as well as graduate students confronted with analytical quality assurance for the first time, this book will be the clue to meeting such challenges.

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