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200 10$aStatistical Data Analysis for the Physical Sciences /$fAdrian Bevan, Queen Mary, University of London$b[electronic resource]
210  1$aCambridge :$cCambridge University Press,$d2013.
215   $a1 online resource (xi, 220 pages) $cdigital, PDF file(s)
300   $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
311   $a1-107-67034-9 
311   $a1-107-03001-3 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Sets -- Probability -- Visualising and quantifying the properties of data -- Useful distributions -- Uncertainty and errors -- Confidence intervals -- Hypothesis testing -- Fitting -- Multivariate analysis -- Appendix A. Glossary -- Appendix B. Probability density functions -- Appendix C. Numerical integration methods -- Appendix D. Solutions -- Appendix E. Reference tables -- References -- Index.
330   $aData analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material.
606   $aPhysical sciences$xStatistical methods
606   $aPhysical sciences$xExperiments$xData processing
615  0$aPhysical sciences$xStatistical methods.
615  0$aPhysical sciences$xExperiments$xData processing.
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700   $aBevan$b Adrian$01160467
801  0$bUkCbUP
801  1$bUkCbUP
906   $aBOOK
912   $a9910825464903321
996   $aStatistical Data Analysis for the Physical Sciences$94001464
997   $aUNINA