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Statistical Methods for Data Analysis: With Applications in Particle Physics
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Statistical Methods for Data Analysis
Book 235 of 241: Lecture Notes in PhysicsSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Statistical Methods for Data Analysis : With Applications in Particle Physics
Book 235 of 241: Lecture Notes in PhysicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Methods for Data Analysis: With Applications in Particle Physics: 1010 (Lecture Notes in Physics, 1010)
Book 235 of 241: Lecture Notes in PhysicsUS$ 80.66
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Statistical Methods for Data Analysis: With Applications in Particle Physics (Lecture Notes in Physics)
Book 235 of 241: Lecture Notes in PhysicsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Statistical Methods for Data Analysis
Book 235 of 241: Lecture Notes in PhysicsLanguage: English
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 3rd ed. 2023. This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book 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).It starts with 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. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits.The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.
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Statistical Methods for Data Analysis : With Applications in Particle Physics
Book 235 of 241: Lecture Notes in PhysicsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Methods for Data Analysis: With Applications in Particle Physics
Book 235 of 241: Lecture Notes in PhysicsUS$ 99.75
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Add to basketPaperback. Condition: Brand New. 3rd edition. 364 pages. 9.25x6.10x0.76 inches. In Stock.
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Statistical Methods for Data Analysis
Book 235 of 241: Lecture Notes in PhysicsLanguage: English
Published by Springer International Publishing, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Condition: New. Revised third edition with a chapter dedicated to machine learningOffers a course-based introduction to statistical analysis for experimental dataEnriched with many worked-out examples to train the readerLuca Lista is full.
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Add to basketPaperback. Condition: Brand New. 2nd edition. 257 pages. 9.25x6.00x0.75 inches. In Stock.
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Statistical Methods for Data Analysis
Book 235 of 241: Lecture Notes in PhysicsLanguage: English
Published by Springer International Publishing, Springer International Publishing Apr 2023, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book 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).It starts with 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. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits.The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch.
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Statistical Methods for Data Analysis : With Applications in Particle Physics
Book 235 of 241: Lecture Notes in PhysicsLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book 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).It starts with 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. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits.The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.
-
Statistical Methods for Data Analysis
Book 235 of 241: Lecture Notes in PhysicsLanguage: English
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
US$ 100.62
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Add to basketPaperback. Condition: New. 3rd ed. 2023. This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book 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).It starts with 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. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits.The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.
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Statistical Methods for Data Analysis
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031199359 ISBN 13: 9783031199356
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Statistical Methods for Data Analysis
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031199359 ISBN 13: 9783031199356
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 63.08
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: new. Questo è un articolo print on demand.
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Statistical Methods for Data Analysis
Book 235 of 241: Lecture Notes in PhysicsLanguage: English
Published by Springer International Publishing Apr 2023, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book 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).It starts with 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. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits.The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. 368 pp. Englisch.
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Taschenbuch. Condition: Neu. Statistical Methods for Data Analysis | With Applications in Particle Physics | Luca Lista | Taschenbuch | xxx | Englisch | 2023 | Springer | EAN 9783031199332 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
