Abstract
Prediction analysis is a general method for predicting the accuracy of quantitative experiments. The method is applicable to experiments in which the data is to be analyzed using the method of least squares. Use of prediction analysis allows the designer of an experiment to estimate the accuracy that should be obtained from the experiment before equipment has been acquired and the experimental setup finalized. Through use of the method, a picture is developed showing how the accuracy of the results should be dependent upon the experimental variables. This information then forms the basis for answering the following questions:
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G.E. Forsythe, Generation and Use of Orthogonal Polynomials for Data-Fitting, Journal of Soc. Of Applied Math, Vol 5, No 2, June 1957.
J. Freund, Mathematical Statistics (5th Edition), Prentice Hall, 1992.
W. Mendenhall, T. Sincich, Statistics for Engineering and the Sciences, Maxwell MacMillan, 1992.
J. R. Wolberg, Data Analysis using the Method of Least Squares, Springer, 2006.
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Wolberg, E.J. (2010). Prediction Analysis. In: Designing Quantitative Experiments. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11589-9_4
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DOI: https://doi.org/10.1007/978-3-642-11589-9_4
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Online ISBN: 978-3-642-11589-9
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