Data analysis for scientists and engineers
Edward L. Robinson
- Oxford : Princeton, c2016.
- xiii, 393 p. : ill. ; 25 cm.
Includes index.
Includes bibliographical references and index.
Citation from the back cover: "The book is divided into three sections. The first section covers basic concepts in probability, and includes a chapter on Monte carlo methods with an extendend discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The third section covers methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction.