Data Analysis for Scientists and Engineers
eBook - PDF

Data Analysis for Scientists and Engineers

  1. 408 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Data Analysis for Scientists and Engineers

About this book

Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. 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, comparing and contrasting techniques from both frequentist and Bayesian perspectives. 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, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences 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

  • Emphasis on error analysis

  • Instructor's manual (available only to professors)

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Yes, you can access Data Analysis for Scientists and Engineers by Edward L. Robinson in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Contents
  5. Preface
  6. 1 Probability
  7. 2 Some Useful Probability Distribution Functions
  8. 3 Random Numbers and Monte Carlo Methods
  9. 4 Elementary Frequentist Statistics
  10. 5 Linear Least Squares Estimation
  11. 6 Nonlinear Least Squares Estimation
  12. 7 Bayesian Statistics
  13. 8 Introduction to Fourier Analysis
  14. 9 Analysis of Sequences: Power Spectra and Periodograms
  15. 10 Analysis of Sequences: Convolution and Covariance
  16. Appendices
  17. Bibliography
  18. Index