000			02005 a2200253 4500
001			11491
003			IN-BhIIT
005			20260527174502.0
008			260508b |||||||| |||| 00| 0 eng d
020			_a9783319557373(hbk.)
040			_aIN-BhIIT
041			_aeng
082			_a530.15 _bMAN/P
100			_aMana, Carlos _eAuthor _927777
245			_aProbability and statistics for particle physics / _cCarlos Mana.
260			_aSwitzerland : _bSpringer, _c2017.
300			_ax, 244 p. : _bill. ; _c22 cm.
490			_aUNITEXT for physics
504			_aIncludes bibliographical references and index.
520			_aThis 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.
650			_aPhysics
650			_aParticle physics _xStatistical methods _927842
942			_cTRB
999			_c15492 _d15492