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Probability and statistics for parti...

Mana, Carlos.

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Probability and statistics for particle physics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability and statistics for particle physics/ by Carlos Mana.
Author:	Mana, Carlos.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	x, 244 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Preface -- Probability -- Bayesian Inference -- Monte Carlo Methods -- Information Theory.
Contained By:	Springer eBooks
Subject:	Particles (Nuclear physics) - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-55738-0
ISBN:	9783319557380

Probability and statistics for particle physics
Mana, Carlos.

Probability and statistics for particle physics[electronic resource] /by Carlos Mana. - Cham :Springer International Publishing :2017. - x, 244 p. :ill. (some col.), digital ;24 cm. - UNITEXT for physics,2198-7882. - UNITEXT for physics..

Preface -- Probability -- Bayesian Inference -- Monte Carlo Methods -- Information Theory.

This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduate-level courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics.

ISBN: 9783319557380

Standard No.: 10.1007/978-3-319-55738-0doiSubjects--Topical Terms:

2204793
Particles (Nuclear physics)
--Statistical methods.

LC Class. No.: QC793.4

Dewey Class. No.: 539.7

Probability and statistics for particle physics
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245 1 0 $a Probability and statistics for particle physics $h [electronic resource] / $c by Carlos Mana.
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300 $a x, 244 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a UNITEXT for physics, $x 2198-7882
505 0 $a Preface -- Probability -- Bayesian Inference -- Monte Carlo Methods -- Information Theory.
520 $a This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduate-level courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics.
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