Name: Statistical Methods for Data Analysis: With Applications in Particle Physics (en Inglés)
Price: 285.79 PEN
Availability: InStock
Author: Lista, Luca
ISBN: 9783031199332

portada Statistical Methods for Data Analysis: With Applications in Particle Physics (en Inglés)

Formato

Libro Físico

Autor

Luca Lista

Editorial

Springer

Idioma

Inglés

N° páginas

334

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.9 cm

Peso

0.51 kg.

ISBN13

9783031199332

N° edición

0003

Categorías

Probabilidad y estadística
Física nuclear
Física matemática

Statistical Methods for Data Analysis: With Applications in Particle Physics (en Inglés)

Luca Lista (Autor) · Springer · Tapa Blanda

Libro Nuevo

S/ 285,79

S/ 571,58

Ahorras: S/ 285,79

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Origen: España (Costos de importación incluídos en el precio)

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Reseña del libro "Statistical Methods for Data Analysis: With Applications in Particle Physics (en Inglés)"

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.