Ellison / Barwick / Farrant Practical Statistics for the Analytical Scientist

A Bench Guide
2. Auflage 2009
ISBN: 978-1-84755-955-5
Verlag: Royal Society of Chemistry
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 270 Seiten, Web PDF

The application of statistics is central to the assessment of data quality and an understanding of statistics is essential for the interpretation of analytical results. 'Practical Statistics for the Analytical Scientist, A Bench Guide' was first published by the RSC in 1997. This well structured manual was designed to help practicing analytical scientists and students identify the correct statistical parameters and tests to apply to their data. Completely revised and updated, the second edition contains new sections on method validation, measurement uncertainty, effective experimental design and proficiency testing. Key features: -covers the essential statistics required in analytical science -describes the application of statistics in important quality assurance activities such as method validation, evaluating uncertainty and proficiency testing -aimed at analysts who may have little knowledge of statistics -focuses on applications rather than theory -'FAQs' in the introduction guide the reader to appropriate chapters -comprehensive list of symbols and notation -extensive worked examples illustrate key statistical techniques -self-assessment questions (with detailed solutions) to test understanding. The book provides the reader with a set of statistical tools to help them plan effective experiments and apply appropriate statistics for data evaluation.

Autoren/Hrsg.

Ellison, Stephen L R

Barwick, Vicki J

Farrant, Trevor J Duguid

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Mathematik für Naturwissenschaftler
• Naturwissenschaften Chemie Analytische Chemie

Inhaltsverzeichnis

Chapter 1: Introduction - Choosing the Correct Statistics; Chapter 2: Graphical Methods; Chapter 3: Distributions and Types of Data; Chapter 4: Basic Statistical Techniques; Chapter 5: Outliers in Analytical Data; Chapter 6: Analysis of Variance; Chapter 7: Regression; Chapter 8: Designing Effective Experiments; Chapter 9: Validation and Method Performance; Chapter 10: Measurement Uncertainty; Chapter 11: Analytical Quality Control; Chapter 12: Proficiency Testing; Chapter 13: Simple Sampling Strategies

Über Autor(innen)

Stephen L R Ellison is head of the Bioinformatics and Statistics team at the LGC (Laboratory of the Government Chemist). His current research interests include the characterisation of uncertainties arising from analytical recovery and matrix effects. An author of the EURACHEM guide 'Quantifying Uncertainty in Analytical Measurement', Dr Ellison is a recognised international expert in measurement uncertainty principles applied to analytical methods. He contributes to a range of national and international committees in that field. Vicki J Barwick is currently project manager for the DIUS Chemical and Biological Metrology Programme knowledge transfer projects at the LGC (Laboratory of the Government Chemist). These are aimed at promoting the adoption of the principles of valid analytical measurement. Over the last 10 years, she has lectured extensively on quality assurance topics and has co-authored a number of papers, books and guides. Trevor J Duguid Farrant is the Statistics Section Head of the P&G, Gillette R&D laboratory. Prior to this, he worked for the LGC (Laboratory of the Government Chemist) as the Chemometrics & Statistics Manager. He is the recognised expert in shave test methodology and is responsible for many novel applications of statistical theory. He is chairman of the Business & Industry section of the Royal Statistical Society and his current research interests include meta-analysis and Bayesian probability. Trevor was the author of the first edition.