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Practical Statistics for the Analytical Scientist de Peter Bedson

Practical Statistics for the Analytical Scientist

Autor Peter Bedson, Trevor J. Farrant, Stephen L R Ellison, Vicki J. Barwick
en Limba Engleză Paperback – 31 aug 2009
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.
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Specificații

ISBN-13: 9780854041312
ISBN-10: 0854041311
Pagini: 268
Ilustrații: 1, black & white illustrations
Dimensiuni: 188 x 244 x 18 mm
Greutate: 0.52 kg
Ediția:Nouă
Editura: Royal Society Of Chemistry

Cuprins

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

Notă biografică

Stephen L R Ellison is head of the Bioinformatics and Statistics team at LGC. 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 at LGC for the Chemical and Biological Metrology programme knowledge transfer projects (funded by the National Measurement Office). 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 has recently joined Cadbury as the Global Statistics Program Leader. Here his team work with sensory data from trained panels and consumers. They analyse all chocolate, gum & candy to ensure production & development of the world's best confectionery. Prior to that he worked 10 years at Gillette (P&G) coordinating their statistical capabilities. He and his team developed a wide range of techniques to analyse quality control, expert panel, consumer and analytical data. He is the recognised expert in shave test methodology and is responsible for many novel applications of statistical theory. Before Gillette he spent 10 years at LGC as the Chemometrics & Statistics Manager, where he wrote the first edition of this book. As the former chairman of the Business & Industry section of the Royal Statistical Society he has broad statistical interests. His current research includes compressed space experimental design and neutral versus forced choice preference questions.

Textul de pe ultima copertă

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 the reader with a set of statistical tools to help them plan effective experiments and apply appropriate statistics for data evaluation.

Descriere

This manual provides a set of statistical tools to help readers plan experiments and apply appropriate statistics for data evaluation.