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Statistical data analysis for the physical sciences /
A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2013.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Bevan, Adrian, |e author. | |
| 245 | 1 | 0 | |a Statistical data analysis for the physical sciences / |c Adrian Bevan. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2013. | ||
| 300 | |a 1 online resource (xi, 220 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 504 | |a Includes bibliographical references (pages 216-217) and index. | ||
| 520 | |a A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented. | ||
| 505 | 0 | |a Preface; 1 Introduction; 1.1 Measuring g, the coefficient of acceleration due to gravity; 1.2 Verification of Ohm's law; 1.3 Measuring the half-life of an isotope; 1.4 Summary; 2 Sets; 2.1 Relationships between sets; 2.1.1 Equivalence; 2.1.2 Subset; 2.1.3 Superset; 2.1.4 Intersection; 2.1.5 Set difference; 2.1.6 Union; 2.1.7 Complement; 2.2 Summary; Exercises; 3 Probability; 3.1 Elementary rules; 3.2 Bayesian probability; 3.2.1 Priors; 3.3 Classic approach; 3.4 Frequentist probability; 3.4.1 Which approach should I use?; 3.5 Probability density functions; 3.6 Likelihood. | |
| 505 | 8 | |a 3.7 Case studies; 3.7.1 Tossing a coin (classical); 3.7.2 The national lottery (classical); 3.7.3 Blackjack (classical); 3.7.4 Will it rain tomorrow? (Bayesian); 3.7.5 The three cups problem (Bayesian); 3.8 Summary; Exercises; 4 Visualising and quantifying the properties of data; 4.1 Visual representation of data; 4.1.1 Histograms; 4.1.2 Graphs; 4.1.3 Continuous distributions; 4.2 Mode, median, mean; 4.3 Quantifying the spread of data; 4.3.1 Variance; 4.3.2 Standard deviation; 4.4 Presenting a measurement; 4.4.1 Full width at half maximum; 4.5 Skew; 4.6 Measurements of more than one observable. | |
| 505 | 8 | |a 6.1 The nature of errors; 6.1.1 Central limit theorem; 6.1.2 The Gaussian nature of statistical uncertainty; 6.1.3 Repeating measurements with a more precise experiment; 6.2 Combination of errors; 6.2.1 Functions of one variable; 6.2.2 Functions of two variables; 6.2.3 Functions involving powers of x; 6.2.4 Correlations revisited; 6.2.5 Correlated and uncorrelated uncertainties; 6.3 Binomial error; 6.4 Averaging results; 6.4.1 Weighted average of a set of measurements for a single observable; 6.4.2 Weighted average of a set of measurements for a set of observables. | |
| 505 | 8 | |a 6.5 Systematic errors and systematic bias; 6.6 Blind analysis technique; 6.7 Case studies; 6.7.1 Total uncertainty on a measurement; 6.7.2 Tracking uncertainty; 6.7.3 Weighted average of measurements of correlated observables; 6.8 Summary; Exercises; 7 Confidence intervals; 7.1 Two-sided intervals; 7.2 Upper and lower limit calculations; 7.3 Limits for a Gaussian distribution; 7.4 Limits for a Poisson distribution; 7.5 Limits for a binomial distribution; 7.6 Unified approach to analysis of small signals; 7.7 Monte Carlo method; 7.8 Case studies; 7.8.1 Multivariate normal distribution. | |
| 588 | 0 | |a Print version record. | |
| 546 | |a Text in English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Statistical physics. | |
| 650 | 0 | |a Physical sciences |x Statistical methods. | |
| 650 | 6 | |a Physique statistique. | |
| 650 | 6 | |a Sciences physiques |x Méthodes statistiques. | |
| 650 | 7 | |a SCIENCE |x Physics |x General. |2 bisacsh | |
| 650 | 7 | |a Physical sciences |x Statistical methods |2 fast | |
| 650 | 7 | |a Statistical physics |2 fast | |
| 650 | 7 | |a Datenanalyse |2 gnd | |
| 650 | 7 | |a Statistik |2 gnd | |
| 650 | 7 | |a Fehlerrechnung |2 gnd | |
| 650 | 7 | |a Wahrscheinlichkeit |2 gnd | |
| 776 | 0 | 8 | |i Print version: |a Bevan, Adrian. |t Statistical data analysis for the physical sciences. |d Cambridge, UK ; New York : Cambridge University Press, 2013 |z 9781107670341 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1182963 |z Texto completo |
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