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Full Description
Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data - benefiting from straightforward explanations of mathematical concepts, hundreds of figures and tables, and a range of empirical examples.
Contents
Elements of Statistics; Monte Carlo Statistical Methods; Random Number Generation I; Random Number Generation II; Selected Applications of Monte Carlo Methods; Bayesian Estimation; Bias Correction of OLSE in AE Models; State Space Modeling; Nonparametric Statistical Methods; Difference Between Two-Sample Means; Independence Between Two Samples; Source Code Index; Index.
