Statistics And Analysis Of Scientific Data - Massimiliano Bonamente

This Book Is The Third Edition Of A Successful Textbook For Upper-undergraduate And Early Graduate Students, Which Offers A Solid Foundation In Probability Theory And Statistics And Their Application To Physical Sciences, Engineering, Biomedical Sciences And Related Disciplines. It Provides Broad Coverage Ranging From Conventional Textbook Content Of Probability Theory, Random Variables, And Their Statistics, Regression, And Parameter Estimation, To Modern Methods Including Monte-carlo Markov Chains, Resampling Methods And Low-count Statistics. In Addition To Minor Corrections And Adjusting Structure Of The Content, Particular Features In This New Edition Include: Python Codes And Machine-readable Data For All Examples, Classic Experiments, And Exercises, Which Are Now More Accessible To Students And Instructors New Chapters On Low-count Statistics Including The Poisson-based Cash Statistic For Regression In The Low-count Regime, And On Contingency Tables And Diagnostic Testing.