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Data Reduction and Error Analysis for the Physical Sciences by D. Keith Robinson; Philip R. Bevington and a great selection of similar Used, New and Collectible Books.
Compression is one of the data reduction methods that has been around the longest. bit strings opens the door to the potential for extreme corruption. A minor disk error that might normally result in a small problem for an uncompressed.
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On Jan 1, 2003 Philip R. Bevington (and others) published: Data Reduction and Error Analysis for The Physical Sciences.
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The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view,
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1 Uncertainties in Measurements. 2 Probability Distributions. 3 Error Analysis. 4 Estimates of Mean and Errors. 5 Monte Carlo Techniques. 6 Least-Squares Fit to a Straight Line. 7 Least-Squares Fit to a Polynomial. 8 Least-Squares Fit to an Arbitrary Function. 9 Fitting Composite Curves. 10 Direct Application of the.
DATA REDUCTION AND. ERROR ANALYSIS. FOR THE PHYSICAL. SCIENCES. THIRD EDITION. Philip R. Bevington. Late Associate Professor of Physics. Case Western Reserve University. D. Keith Robinson. Emeritus Professor of Physics. Case Western Reserve University. Boston Burr RidgelL Dubuque, IA Madison,V/I.
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You might think, why would I want to reduce my data and analyze my error? Don't I want to analyze my data and reduce my error? Well, reducing error is an experimental art — once you have taken the data, the error is what it is and you can only determine its extent, not reduce it. As for reducing data, that is, in fact, what we.
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