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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Statistical Methods for Data Analysis: With Applications in Particle Physics
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Statistical Methods for Data Analysis
Published by Springer International Publishing AG, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
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US$ 67.81
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Add to basketSoftcover. Ex-library with stamp and library-signature in good condition, some traces of use. C-00247 9783319201757 Sprache: Englisch Gewicht in Gramm: 550.
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Statistical Methods for Data Analysis
Published by Springer International Publishing AG, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
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Statistical Methods for Data Analysis (Paperback)
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Statistical Methods for Data Analysis : With Applications in Particle Physics
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Statistical Methods for Data Analysis: With Applications in Particle Physics (Lecture Notes in Physics)
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Statistical Methods for Data Analysis : With Applications in Particle Physics
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Statistical Methods for Data Analysis
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
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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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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
Published by Springer International Publishing, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
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Add to basketCondition: 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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Statistical Methods for Data Analysis
Published by Springer International Publishing, Springer International Publishing Apr 2023, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. 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
Published by Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
US$ 96.81
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Add to basketTaschenbuch. 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.
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US$ 138.98
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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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US$ 140.49
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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 (Paperback)
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
US$ 139.34
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Statistical Methods for Data Analysis
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031199332 ISBN 13: 9783031199332
Language: English
US$ 106.12
Convert currencyUS$ 87.70 shipping from United Kingdom to U.S.A.Quantity: 1 available
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.
