Free pdf book Principles of Data Analysis by Prasenjit Saha. The emphasis is on why things are done rather than on exactly how to do them. If you already know something about the subject, then working through this book will probably deepen your understanding.
The book begins by identifying four general classes of data analysis problem, and uses elementary probability along with Bayes’ theorem to explain exactly what each involves. The next two chapters use some simple distributions to illustrate these ideas. Further chapters discuss the Monte Carlo method (briefly), least-squares fitting (in some detail), and the problem of determining a distribution function from data. The book ends with an interesting pair of chapters on entropy: one on the maximum entropy method, and one actually about thermodynamics. The author is at Queen Mary and Westfield College, University of London.
Table of Contents
- Probability Rules!
- Binomial and Poisson Distributions
- Gaussian Distributions
- Monte-Carlo Basics
- Least Squares
- Distribution Function Fitting
- Entropy and Thermodynamics
- Miscellaneous Formulas
Download Free PDF / Read Online
Publisher: Cappella Archive
File size: 693 KB
Number of pages: 113