| Description |
1 online resource (xiii, 704 pages) : illustrations |
| Contents |
The scientific method -- Probability -- Probability models -- Classical inference I : estimators -- Classical inference II : optimization -- Classical inference III : confidence intervals and statistical tests -- Bayesian inference -- Basic measurements -- Event reconstruction -- Correlation functions -- The multiple facets of correlation functions -- Data correction methods -- Monte Carlo methods -- Collision and detector modeling |
| Summary |
A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as 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 devoted to notions of 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. Description from publisher |
| Bibliography |
Includes bibliographical references (pages 687-697) and index |
| Notes |
Print version record |
| Subject |
Physical sciences -- Research -- Statistical methods
|
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Physical sciences -- Mathematical models
|
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Mathematical statistics.
|
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Mathematical statistics
|
| Form |
Electronic book
|
| ISBN |
9781108241922 |
|
1108241921 |
|
1108266061 |
|
9781108266062 |
|
1108271529 |
|
9781108271523 |
|
