ENGLISH

Designing Quantitative Experiments: Prediction Analysis

By John Wolberg (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2010
ISBN
3642115888, 9783642115882
DOI
10.1007/978-3-642-11589-9
Google Books ID
d4btA3ccSiUC
Language
english
Format
PDF
Filesize
6 MB (5781314 bytes)
Edition
1
Pages
208\223
Scanned
no
Time added
2011-06-04 13:46:07
Chemistry and Earth SciencesComputer Sciencegeneral;Statistics for EngineeringMeasurement Science and Instrumentation;EngineerinPhysics

Description

The method of Prediction Analysis is applicable for anyone interested in designing a quantitative experiment. The design phase of an experiment can be broken down into problem dependent design questions (like the type of equipment to use and the experimental setup) and generic questions (like the number of data points required, range of values for the independent variables and measurement accuracy). This book is directed towards the generic design phase of the process. The methodology for this phase of the design process is problem independent and can be applied to experiments performed in most branches of science and technology. The purpose of the prediction analysis is to predict the accuracy of the results that one can expect from a proposed experiment. Prediction analyses can be performed using the REGRESS program which was developed by the author and can be obtained free-of-charge through the author's website. Many examples of prediction analyses are included in the book ranging from very simple experiments based upon a linear relationship between the dependent and independent variables to experiments in which the mathematical models are highly non-linear.

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