000 | 03230nam a22005055i 4500 | ||
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001 | 978-3-319-20176-4 | ||
003 | DE-He213 | ||
005 | 20190213151925.0 | ||
007 | cr nn 008mamaa | ||
008 | 150724s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319201764 _9978-3-319-20176-4 |
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024 | 7 |
_a10.1007/978-3-319-20176-4 _2doi |
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050 | 4 | _aQC793-793.5 | |
050 | 4 | _aQC174.45-174.52 | |
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_aPHQ _2bicssc |
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_aPHQ _2thema |
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_a539.72 _223 |
100 | 1 |
_aLista, Luca. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aStatistical Methods for Data Analysis in Particle Physics _h[electronic resource] / _cby Luca Lista. |
250 | _a1st ed. 2016. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXIX, 172 p. 63 illus., 59 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Physics, _x0075-8450 ; _v909 |
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505 | 0 | _aPreface -- Probability theory -- Probability Distribution Functions -- Bayesian approach to probability -- Random numbers and Monte Carlo Methods -- Parameter estimate -- Confidence intervals -- Hypothesis tests -- Upper Limits -- Bibliography. | |
520 | _aThis 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. | ||
650 | 0 | _aQuantum theory. | |
650 | 0 | _aStatistics. | |
650 | 1 | 4 |
_aElementary Particles, Quantum Field Theory. _0http://scigraph.springernature.com/things/product-market-codes/P23029 |
650 | 2 | 4 |
_aMeasurement Science and Instrumentation. _0http://scigraph.springernature.com/things/product-market-codes/P31040 |
650 | 2 | 4 |
_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _0http://scigraph.springernature.com/things/product-market-codes/S17020 |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319201757 |
776 | 0 | 8 |
_iPrinted edition: _z9783319201771 |
830 | 0 |
_aLecture Notes in Physics, _x0075-8450 ; _v909 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-20176-4 |
912 | _aZDB-2-PHA | ||
912 | _aZDB-2-LNP | ||
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