000			02063 a2200205 4500
005			20250416173132.0
008			240426b2013|||||||| |||| 00| 0 eng d
020			_a9781107670341
041			_aEnglish
082			_a519.50245 B48
100			_aBevan, Adrian _eAuthor _93272
245			_aStatistical data analysis for the physical sciences
260			_bCambridge University Press, _c2013. _aUnited Kingdom:
300			_axi, 220p.; 23cms.
500			_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. Combines formal descriptions of methods with examples and case studies to illustrate how those methods may be used Includes a chapter on multivariate analysis to introduce the concept of data mining in terms of cut-based analysis, Bayesian classifiers, the Fisher discriminant, neural networks and decision trees Over 130 exercises, with solutions provided, help readers test their understanding of the subject and understand the material covered Table of contents: Preface 1. Introduction 2. Sets 3. Probability 4. Visualising and quantifying the properties of data 5. Useful distributions 6. Uncertainty and errors 7. Confidence intervals 8. Hypothesis testing 9. Fitting 10. Multivariate analysis Appendixes References Index
650			_aStatistical data analysis _93955
650			_aPhysical sciences _xMultivariate analysis _96289
650			_aVisualising and quantifying the properties of data _93957
942			_cBK
999			_c1162 _d1162