000			01549nam a2200229 4500
020			_a9783030536930
082			_a530.1595 _bROE/P
100			_aRoe, Byron P
245			_aProbability and statistics in the physical sciences
250			_a3
260			_aSwitzerland _bSpringer _c2020
300			_a285 p.
520			_aThis book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes’ theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems.
650			_aMathematical physics
650			_aProbabilities
650			_aStatistical physics
650			_aNuclear physics
650			_aphysics
650			_astatistics
650			_aEconophysics
942			_cBK
999			_c66772 _d66772