000			02348 a2200325 4500
999			_c53686 _d53686
008			200925b ||||| |||| 00| 0 eng d
020			_a9783319628394
082			_a539.7 _bLIS
100			_aLista, Luca
245			_aStatistical methods for data analysis in particle physics
250			_a2nd
260			_bSpringer, _c2017. _aSwitzerland:
300			_axvi, 257 p.: ill.; _bpb; _c24 cm.
365			_aEURO _b69.99
440			_aLecture notes in physics; v. 941.
504			_aIncludes bibliographical references and index.
520			_aThis concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation).
650			_aPhysics
650			_aModern Physics
650			_aProbability Theory
650			_aProbability Distribution Functions
650			_aBayesian Approach
650			_aRandom Numbers
650			_aMonte Carlo Methods
650			_aCombining Measurements
650			_aConfidence Intervals
650			_aHypothesis Tests
650			_aParameter Estimate
942			_2ddc _cTD