The Handling of Experimental Data

The Handling of Experimental Data PDF Author:
Publisher:
ISBN: 9780335020294
Category :
Languages : en
Pages : 51

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Book Description

The Handling of Experimental Data

The Handling of Experimental Data PDF Author:
Publisher:
ISBN: 9780335020294
Category :
Languages : en
Pages : 51

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Book Description


The Handling of Experimental Data

The Handling of Experimental Data PDF Author:
Publisher:
ISBN: 9780335080571
Category : Science
Languages : en
Pages : 64

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Handling Experimental Data

Handling Experimental Data PDF Author: Mike Pentz
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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The Handling of Experimental Data

The Handling of Experimental Data PDF Author: Open University
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 51

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Book Description


The Handling of Experimental Data

The Handling of Experimental Data PDF Author: Open University. Science Foundation Cource
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 51

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Experimental Design

Experimental Design PDF Author: S.N. Deming
Publisher: Elsevier
ISBN: 0080868304
Category : Science
Languages : en
Pages : 301

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Book Description
Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''.The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.

The Handling of experimental Data

The Handling of experimental Data PDF Author: Open University. Faculty of Science
Publisher:
ISBN:
Category :
Languages : en
Pages :

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The Handling of Experimental Data

The Handling of Experimental Data PDF Author: Open University. Equipo del Curso Básico de Ciencias
Publisher:
ISBN:
Category :
Languages : en
Pages : 51

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Science Foundation Course

Science Foundation Course PDF Author:
Publisher:
ISBN: 9780335020294
Category :
Languages : en
Pages :

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The Handling of Chemical Data

The Handling of Chemical Data PDF Author: P. D. Lark
Publisher: Elsevier
ISBN: 1483146154
Category : Mathematics
Languages : en
Pages : 393

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Book Description
The Handling of Chemical Data deals with how measurements, such as those arrived at from chemical experimentation, are handled. The book discusses the different kinds of measurements and their specific dimensional characteristics by starting with the origin and presentation of chemical data. The text explains the units, fixed points, and relationships found between scales, the concept of dimensions, the presentation of quantitative data (whether in a tabular or graphical form), and some uses of empirical equations. The book also explains the relationship between two variables, and how equations such as fitting the least square lines can be applied. The text explains how the simple regression and the correlations models can be modified in three ways depending on the complexities present while studying experimental data. When data are reduced to equation form, ancillary operations — interpolation, integration, and differentiation — become useful for more precise presentation and understanding of the experimental data. The book notes the importance of smoothing or adjustment as a procedure to eliminate the effects of random error through application of the direct methods, difference methods, and the least squares method for equally space values. The text then addresses the dimensional analysis in physico-chemical problems and discusses the different dimensions (time, mass, force, energy, and temperature) that can affect systems. Researchers who are time-constrained or equipped with only fundamental training and knowledge of statistical analysis will find this book helpful. It can also be read by students of advanced mathematics and statistical analysis.