This text provides a thorough introduction to the statistical methods used in the experimental sciences and to the numerical methods used to implement them. Bridging the gap between statistical theory and practical problems, the treatment emphasizes concise but rigorous mathematics while retaining its focus on applications. After introducing probability and random variables, the book turns to the generation of random numbers (and application to Monte Carlo methods) and to important distributions (such as the binomial, Poisson, and normal distributions). Subsequent chapters discuss statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The text concludes with a detailed discussion of several important statistical methods. Appendices present the necessary methods of matrix algebra and combinatorics as well as many useful formulae, algorithms, and computer routines.
Detalhes do Produto
Subtítulo: STATISTICAL AND COMPUTACIONAL METHODS FOR SCIENTIS