Statistical Methods in Analytical Chemistry

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Author :
Release : 2005-03-04
Genre : Science
Kind :
Book Rating : 117/5 ( reviews)

Statistical Methods in Analytical Chemistry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods in Analytical Chemistry write by Peter C. Meier. This book was released on 2005-03-04. Statistical Methods in Analytical Chemistry available in PDF, EPUB and Kindle. This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly demonstrates how to obtain reliable results by choosing the most appropriate experimental design and data evaluation methods. Unlike other books on the subject, Statistical Methods in Analytical Chemistry, Second Edition presents and solves problems in the context of a comprehensive decision-making process under GMP rules: Would you recommend the destruction of a $100,000 batch of product if one of four repeat determinations barely fails the specification limit? How would you prevent this from happening in the first place? Are you sure the calculator you are using is telling the truth? To help you control these situations, the new edition: * Covers univariate, bivariate, and multivariate data * Features case studies from the pharmaceutical and chemical industries demonstrating typical problems analysts encounter and the techniques used to solve them * Offers information on ancillary techniques, including a short introduction to optimization, exploratory data analysis, smoothing and computer simulation, and recapitulation of error propagation * Boasts numerous Excel files and compiled Visual Basic programs-no statistical table lookups required! * Uses Monte Carlo simulation to illustrate the variability inherent in statistically indistinguishable data sets Statistical Methods in Analytical Chemistry, Second Edition is an excellent, one-of-a-kind resource for laboratory scientists and engineers and project managers who need to assess data reliability; QC staff, regulators, and customers who want to frame realistic requirements and specifications; as well as educators looking for real-life experiments and advanced students in chemistry and pharmaceutical science. From the reviews of Statistical Methods in Analytical Chemistry, First Edition: "This book is extremely valuable. The authors supply many very useful programs along with their source code. Thus, the user can check the authenticity of the result and gain a greater understanding of the algorithm from the code. It should be on the bookshelf of every analytical chemist."-Applied Spectroscopy "The authors have compiled an interesting collection of data to illustrate the application of statistical methods . . . including calibrating, setting detection limits, analyzing ANOVA data, analyzing stability data, and determining the influence of error propagation."-Clinical Chemistry "The examples are taken from a chemical/pharmaceutical environment, but serve as convenient vehicles for the discussion of when to use which test, and how to make sense out of the results. While practical use of statistics is the major concern, it is put into perspective, and the reader is urged to use plausibility checks."-Journal of Chemical Education "The discussion of univariate statistical tests is one of the more thorough I have seen in this type of book . . . The treatment of linear regression is also thorough, and a complete set of equations for uncertainty in the results is presented . . . The bibliography is extensive and will serve as a valuable resource for those seeking more information on virtually any topic covered in the book."-Journal of American Chemical Society "This book treats the application of statistics to analytical chemistry in a very practical manner. [It] integrates PC computing power, testing programs, and analytical know-how in the context of good manufacturing practice/good laboratory practice (GMP/GLP) . . .The book is of value in many fields of analytical chemistry and should be available in all relevant libraries."-Chemometrics and Intelligent Laboratory Systems

Statistics for Analytical Chemistry

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Author :
Release : 1992
Genre : Chemistry, Analytic
Kind :
Book Rating : 210/5 ( reviews)

Statistics for Analytical Chemistry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics for Analytical Chemistry write by Jane C. Miller. This book was released on 1992. Statistics for Analytical Chemistry available in PDF, EPUB and Kindle.

Statistics and Chemometrics for Analytical Chemistry

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Release : 2018-04-26
Genre : Science
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Book Rating : 747/5 ( reviews)

Statistics and Chemometrics for Analytical Chemistry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics and Chemometrics for Analytical Chemistry write by James Miller. This book was released on 2018-04-26. Statistics and Chemometrics for Analytical Chemistry available in PDF, EPUB and Kindle. Statistics and Chemometrics for Analytical Chemistry 7th edition provides a clear, accessible introduction to main statistical methods used in modern analytical laboratories. It continues to be the ideal companion for students in Chemistry and related fields keen to build their understanding of how to conduct high quality analyses in areas such as the safety of food, water and medicines, environmental monitoring, and chemical manufacturing. With a focus on the underlying statistical ideas, this book incorporates useful real world examples, step by step explanation and helpful exercises throughout. Features of the new edition: · Significant revision of the Quality of analytical measurements chapter to incorporate more detailed coverage of the estimation of measurement uncertainty and the validation of analytical methods. · Updated coverage of a range of topics including robust statistics, Bayesian methods, and testing for normality of distribution, plus expanded material on regression and calibration methods. · Additional experimental design methods, including the increasingly popular optimal designs. · Worked examples have been updated throughout to ensure compatibility with the latest versions of Excel and Minitab. · Exercises are available at the end of each chapter to allow student to check understanding and prepare for exams. Answers are provided at the back of the book for handy reference. This book is aimed at undergraduate and graduate courses in Analytical Chemistry and related topics. It will also be a valuable resource for researchers and chemists working in analytical chemistry.

Practical Statistics for the Analytical Scientist

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Release : 2021-04-08
Genre : Mathematics
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Book Rating : 433/5 ( reviews)

Practical Statistics for the Analytical Scientist - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Statistics for the Analytical Scientist write by Peter Bedson. This book was released on 2021-04-08. Practical Statistics for the Analytical Scientist available in PDF, EPUB and Kindle. Analytical chemists must use a range of statistical tools in their treatment of experimental data to obtain reliable results. Practical Statistics for the Analytical Scientist is a manual designed to help them negotiate the daunting specialist terminology and symbols. Prepared in conjunction with the Department of Trade and Industry's Valid Analytical Measurement (VAM) programme, this volume covers the basic statistics needed in the laboratory. It describes the statistical procedures that are most likely to be required including summary and descriptive statistics, calibration, outlier testing, analysis of variance and basic quality control procedures. To improve understanding, many examples provide the user with material for consolidation and practice. The fully worked answers are given both to check the correct application of the procedures and to provide a template for future problems. Practical Statistics for the Analytical Scientist will be welcomed by practising analytical chemists as an important reference for day to day statistics in analytical chemistry.

Notes On Statistics And Data Quality For Analytical Chemists

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Release : 2011-02-16
Genre : Science
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Book Rating : 914/5 ( reviews)

Notes On Statistics And Data Quality For Analytical Chemists - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Notes On Statistics And Data Quality For Analytical Chemists write by Michael Thompson. This book was released on 2011-02-16. Notes On Statistics And Data Quality For Analytical Chemists available in PDF, EPUB and Kindle. This book is intended to help analytical chemists feel comfortable with more commonly used statistical operations and help them make effective use of the results. Emphasis is put upon computer-based methods that are applied in relation to measurement and the quality of the resulting data. The book is intended for analytical chemists working in industry but is also appropriate for students taking first degrees or an MSc in analytical chemistry.The authors have divided this book into quite short sections, each dealing with a single topic. The sections are as far as possible selfcontained, but are extensively cross-referenced. The book can therefore be used either systematically by reading the sections sequentially, or as a quick reference by going directly to the topic of interest. Every statistical method and application covered has at least one example where the results are analysed in detail. This enables readers to emulate this analysis on their own examples. All of the datasets used in examples are available for download, so that readers can compare their own output with that of the book and thus verify that they are entering data correctly into the statistical package that they happen to use./a