Statistics and Analysis of Scientific Data (Paperback, Softcover reprint of the original 1st ed. 2013)

Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to two-dimensional datasheets and parameter estimation, Monte Carlo methods and Markov chains. Equal attention is paid to the theory and its practical application, and results from classic experiments in various fields are used to illustrate the importance of statistics in the analysis of scientific data. The main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and proactive use of the material for practical applications. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the students' understanding of the topic.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Graduate Texts in Physics
Release date:	September 2015
First published:	2013
Authors:	Massimiliano Bonamente
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	301
Edition:	Softcover reprint of the original 1st ed. 2013
ISBN-13:	978-1-4899-9480-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Promotions
LSN:	1-4899-9480-7
Barcode:	9781489994806

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