Tuesday, 24 June 2014

PDF⋙ Data Analysis for Scientists and Engineers by Edward L. Robinson

Data Analysis for Scientists and Engineers by Edward L. Robinson

Data Analysis for Scientists and Engineers

Data Analysis for Scientists and Engineers by Edward L. Robinson PDF, ePub eBook D0wnl0ad

Data Analysis for Scientists and Engineers is a graduate-level text on data analysis techniques for physical science and engineering students as well as professionals. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary.

Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, from both frequentist and Bayesian perspectives. Taking an unbiased approach to these schools of statistics, the book compares and contrasts each point of view. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix.

Based on a graduate course on data analysis that the author has taught for many years, this book can be used for courses on data analysis and is also a valuable resource for students and practitioners in astronomy, physics, and engineering.

  • In-depth discussion of data analysis for scientists and engineers
  • Coverage of both frequentist and Bayesian approaches to data analysis
  • Extensive look at analysis techniques for time-series data and images
  • Detailed exploration of linear and nonlinear modeling of data
  • Solutions manual (available only to professors)


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