Über den Autor
Massimiliano Bonamente is Associate Professor of Physics at the University of Alabama in Huntsville. He has taught more than 1500 students, written more than 30 peer reviewed journal articles, and has received more than 1.2 million dollars in research grants and contracts.
Theory of Probability.- Random Variables and Their Distribution.- Sum and Functions of Random Variables.- Estimate of Mean and Variance and Confidence Intervals.- Distribution Function of Statistics and Hypothesis Testing.- Maximum Likelihood Fit to a Two-Variable Dataset.- Goodness of Fit and Parameter Uncertainty.- Comparison Between Models.- Monte Carlo Methods.- Markov Chains and Monte Carlo Markov Chains.- A: Numerical Tables.- B: Solutions.
Includes numerical tables of data for critical distribution functions, making the textbook a self-contained guide for students
Covers the theory and practice of Monte Carlo Markov chains, a leading tool for the analysis of complex data sets, and a topic virtually absent in other textbooks
Covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data