โ Scribed by Tanizaki H.
No coin nor oath required. For personal study only.
Reflecting current technological capacities and analytical trends, this book/CD-ROM package showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. Tanizaki (economics, Kobe University, Japan) reviews introductory notions in statistics, explores applications of Monte Carlo methods in Bayesian estimation, state space modeling, and bias correction of ordinary least squares in autoregressive models, and examines computer-intensive, statistical techniques other than Monte Carlo methods and simulations. A beginning chapter introduces statistics and econometrics. Material is written for first-year graduate students.
๐ SIMILAR VOLUMES
Highlights Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. Features practical applications.
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 applicat
"Statistical Methods in Econometrics" is appropriate for beginning graduate courses in mathematical statistics and econometrics in which the foundations of probability and statistical theory are developed for application to econometric methodology. Because econometrics generally requires the study o
Every major econometric method is illustrated by a persuasive, real life example applied to real data. * Explores subjects such as sample design, which are critical to practical application econometrics.