An Introduction to Design, Data Analysis, and Model Building
Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for statistical thinking'' by using examples drawn from actual case studies.
A comprehensive guide to simulation methods with explicit recommendations of methods and algorithms. Covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more. Includes a selection of computer programs.