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Statistical methods for data analysi...
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Lista, Luca.
Statistical methods for data analysis in particle physics[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
539.720727
書名/作者:
Statistical methods for data analysis in particle physics/ by Luca Lista.
作者:
Lista, Luca.
出版者:
Cham : : Springer International Publishing :, 2016.
面頁冊數:
xix, 172 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Nuclear physics - Statistical methods.
標題:
Physics.
標題:
Elementary Particles, Quantum Field Theory.
標題:
Measurement Science and Instrumentation.
標題:
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
ISBN:
9783319201764
ISBN:
9783319201757
內容註:
Preface -- Probability theory -- Probability Distribution Functions -- Bayesian approach to probability -- Random numbers and Monte Carlo Methods -- Parameter estimate -- Confidence intervals -- Hypothesis tests -- Upper Limits -- Bibliography.
摘要、提要註:
This concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data.
電子資源:
http://dx.doi.org/10.1007/978-3-319-20176-4
Statistical methods for data analysis in particle physics[electronic resource] /
Lista, Luca.
Statistical methods for data analysis in particle physics
[electronic resource] /by Luca Lista. - Cham :Springer International Publishing :2016. - xix, 172 p. :ill. (some col.), digital ;24 cm. - Lecture notes in physics,v.9090075-8450 ;. - Lecture notes in physics ;v.830..
Preface -- Probability theory -- Probability Distribution Functions -- Bayesian approach to probability -- Random numbers and Monte Carlo Methods -- Parameter estimate -- Confidence intervals -- Hypothesis tests -- Upper Limits -- Bibliography.
This concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data.
ISBN: 9783319201764
Standard No.: 10.1007/978-3-319-20176-4doiSubjects--Topical Terms:
651752
Nuclear physics
--Statistical methods.
LC Class. No.: QC793.47.S83
Dewey Class. No.: 539.720727
Statistical methods for data analysis in particle physics[electronic resource] /
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