|
| Titre : |
Data Analysis Techniques for Physical Scientists |
| Type de document : |
document électronique |
| Auteurs : |
Claude A. Pruneau, Auteur |
| Editeur : |
Cambridge [United Kingdom] : Cambridge University Press |
| Année de publication : |
2017 |
| Importance : |
720 p. |
| Présentation : |
ill. |
| ISBN/ISSN/EAN : |
978-1-108-24192-2 |
| Langues : |
Anglais (eng) |
| Catégories : |
Open Access Publications
|
| Tags : |
Data analysis Physical sciences Statistical methods Signal processing Error analysis |
| Index. décimale : |
500 Sciences naturelles et mathématiques |
| Résumé : |
This is a comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced students and seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is given to statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques. This title is also available as open access on Cambridge Core. |
| En ligne : |
https://doi.org/10.1017/9781108241922 |
Data Analysis Techniques for Physical Scientists [document électronique] / Claude A. Pruneau, Auteur . - Cambridge (United Kingdom) : Cambridge University Press, 2017 . - 720 p. : ill. ISBN : 978-1-108-24192-2 Langues : Anglais ( eng)
| Catégories : |
Open Access Publications
|
| Tags : |
Data analysis Physical sciences Statistical methods Signal processing Error analysis |
| Index. décimale : |
500 Sciences naturelles et mathématiques |
| Résumé : |
This is a comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced students and seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is given to statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques. This title is also available as open access on Cambridge Core. |
| En ligne : |
https://doi.org/10.1017/9781108241922 |
|  |
Accueil
Ajouter le résultat dans votre panier Affiner la recherche
