Data Analysis For Physical Scientists
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Data Analysis Techniques for Physical Scientists
Author: Claude A. Pruneau
language: en
Publisher: Cambridge University Press
Release Date: 2017-10-05
A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.
Data Analysis for Physical Scientists
Author: Les Kirkup
language: en
Publisher: Cambridge University Press
Release Date: 2012-02-16
Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.
Bayesian Logical Data Analysis for the Physical Sciences
Author: Phil Gregory
language: en
Publisher: Cambridge University Press
Release Date: 2005-04-14
Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.