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Design and Analysis in Chemical Research (Sheffield Analytical Chemistry)
 
 
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Design and Analysis in Chemical Research (Sheffield Analytical Chemistry) [Hardcover]

Roy Tranter (Editor)

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Book Description

February 18, 2000 0849397464 978-0849397462 1
Chemists in research and development laboratories have relatively few published resources on the design and analysis of experiments. In recent years massive changes have occurred in the tools and instrumentation at their disposal, in the scale of databases linking the properties of pure materials, solutions or other mixtures to molecular structure, and in the sheer ability to collect data through automated data acquisition systems. Despite these advances, many chemists still apply only rudimentary data analysis techniques and remain unaware of the advances made in information extraction over the last decade.

Design and Analysis in Chemical Research provides the means to overcome that problem. An international panel of contributors address the principles of design and analysis in chemical research and development, with a thoughtful, user-friendly approach. Organized in chapters dealing with major activities, this volume generates understanding through numerous examples and practical applications drawn from research and development chemistry. The authors concentrate on principles and interpretation rather than formal derivation and proof, and adopt the unifying theme that statistics and chemometrics are essentially extensions of the logical processes used every day by chemists. Thus, they allow a greater understanding of problems more quickly and easily than purely intuitive methods.

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Inside This Book (learn more)
First Sentence:
Statistical thinking is a data rational, structured approach to scientific investigations such as problem solving, decision making, estimation and modelling reality. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
data reconstruction methods, defective ampoules, digitisation level, response surface modelling, variable regression methods, modelling variability, wine species, discriminant line, maximum prediction error, multivariate control charts, fourth spread, full quadratic model, common cause variability, optimisation and control, cholesterol data, discordant values, median polish, confounding pattern, lurking variable, automatic process control, central composite design, background variability, stirrer speed, uniform precision, analysis and pattern recognition
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Null Hypothesis, Royal Society of Chemistry, Water Batching, Alternative Hypothesis, Wellcome Research Laboratories, Effect Size, Practical Guide, Gaussian Fourier, Interaction Graph, Western Electric, Analytica Chimica Acta, Central Limit Theorem, Clarendon Press, Journal of Quality Technology, Journal of the American Statistical Association, Resampling Stats, Box Behnken, Ellis Horwood, Term Estimate Std, Van Nostrand Reinhold, Wavelength Figure, Week Figure
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