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A unique, integrated treatment of computer modeling and simulation "The future of science belongs to those willing to make the shift to simulation-based modeling," predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone with a fast desktop computer, for integrating simulation into the modeling process in order to create meaningful models of real phenomena. Drawing from a wealth of experience, he gives examples from trading markets, oncology, epidemiology, statistical process control, physics, public policy, combat, real-world optimization, Bayesian analyses, and population dynamics. Dr. Thompson believes that, so far from liberating us from the necessity of modeling, the fast computer enables us to engage in realistic models of processes in, for example, economics, which have not been possible earlier because simple stochastic models in the forward temporal direction generally become quite unmanageably complex when one is looking for such things as likelihoods. Thompson shows how simulation may be used to bypass the necessity of obtaining likelihood functions or moment-generating functions as a precursor to parameter estimation. Simulation: A Modeler's Approach is a provocative and practical guide for professionals in applied statistics as well as engineers, scientists, computer scientists, financial analysts, and anyone with an interest in the synergy between data, models, and the digital computer.
Experimental design. --- Mathematical models. --- Mathematical statistics. --- Experimental design --- Mathematical models --- Mathematical statistics
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Experimental designs --- Science --- Experimental design --- Science --- Mathematical statistics
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Mathematical statistics --- Combinatorial analysis --- Experimental design --- 519.242 --- 519.2 --- #ABIB:astp --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Combinatorics --- Algebra --- Mathematical analysis --- Experimental design. Optimal designs. Block designs --- Probability. Mathematical statistics --- Experiments --- Methodology --- Combinatorial analysis. --- Experimental design. --- 519.2 Probability. Mathematical statistics --- 519.242 Experimental design. Optimal designs. Block designs
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Mathematical statistics --- Analysis of variance --- ANOVA (Analysis of variance) --- Variance analysis --- Experimental design
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