Computational methods in statistics and econometrics
著者
書誌事項
Computational methods in statistics and econometrics
(Statistics : textbooks and monographs, 172)
Marcel Dekker, c2004
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注記
Includes bibliographical references and indexes
内容説明・目次
内容説明
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.
目次
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.
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