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Aimed at commercial loan officers and officer trainees familiar with basic accounting principles and practices, this text details how to use advanced analytical techniques, including sensitivity analysis and operation leverage as well as providing the practice necessary to construct and analyze long-run, multiple year forecasts of income statements and balance sheets.
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Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques. New to the Third Edition New data examples, corresponding R and WinBUGS code, and homework problems Explicit descriptions and illustrations of hierarchical modeling—now commonplace in Bayesian data analysis A new chapter on Bayesian design that emphasizes Bayesian clinical trials A completely re...