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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. The Author Explores Applications Of Monte Carlo Methods In Bayesian Estimation, State Space Modeling, And Bias Correction Of Ordinary Least Squares In Autoregressive Models. The Book Offers Straightforward Explanations Of Mathematical Concepts, Hundreds Of Figures And Tables, And A Range Of Empirical Examples. A Cd-rom Packaged With The Book Contains All Of The Source Codes Used In The Text.
This text investigates the application of computational algorithms to solve complex problems in statistical and econometric modeling. Author Hisashi Tanizaki leverages his expertise in quantitative methods to provide a comprehensive framework for utilizing Monte Carlo and nonparametric techniques. The book bridges the gap between theoretical statistical concepts and their practical implementation through rigorous simulation and data analysis strategies.
What You Will Find
Experts identify this work as a practical resource for researchers needing to implement complex statistical models using modern computational tools. Readers frequently note the technical density of the prose, which is balanced by the inclusion of numerous figures and accessible source code examples.
Page Count:
528
Publication Date:
2004-01-01
Publisher:
Taylor & Francis Group
ISBN-10:
0203022025
ISBN-13:
9780203022023
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