Statistics and analysis of scientific data
Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics,...
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| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Colecção: | Graduate Texts in Physics
|
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistics and analysis of scientific data, Massimiliano Bonamente, 2013, New York (N.Y), Springer, 1 vol. (xv-301 p.), Graduate Texts in Physics, 978-1-4614-7983-3 |
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| 100 | 1 | |a Bonamente, Massimiliano. | |
| 245 | 1 | 0 | |a Statistics and analysis of scientific data |c by Massimiliano Bonamente. |
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c 2013. | ||
| 490 | 0 | |a Graduate Texts in Physics |x 1868-4513 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Theory of Probability Random Variables and Their Distribution Sum and Functions of Random Variables Estimate of Mean and Variance and Confidence Intervals Distribution Function of Statistics and Hypothesis Testing Maximum Likelihood Fit to a Two-Variable Dataset Goodness of Fit and Parameter Uncertainty Comparison Between Models Monte Carlo Methods Markov Chains and Monte Carlo Markov Chains A: Numerical Tables B: Solutions | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to two-dimensional datasheets and parameter estimation, Monte Carlo methods and Markov chains. Equal attention is paid to the theory and its practical application, and results from classic experiments in various fields are used to illustrate the importance of statistics in the analysis of scientific data. The main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and proactive use of the material for practical applications. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the students' understanding of the topic | ||
| 650 | |a Probabilités | ||
| 650 | |a Analyse des données |x Méthodes statistiques | ||
| 650 | |a Champs aléatoires de Markov | ||
| 650 | |a Méthode de Monte Carlo | ||
| 776 | 0 | |0 181974258 |t Statistics and analysis of scientific data |f Massimiliano Bonamente |d 2013 |c New York (N.Y) |n Springer |p 1 vol. (xv-301 p.) |s Graduate Texts in Physics |z 978-1-4614-7983-3 | |
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