[原创]Computational Methods in Statistics and Econometrics

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Synopsis
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.
Annotation ©2004 Book News, Inc., Portland, OR

Table of Contents

Preface
1 Elements of Statistics 1
I Monte Carlo Statistical Methods 77
2 Random Number Generation I 79
3 Random Number Generation II 171
II Selected Applications of Monte Carlo Methods 247
4 Bayesian Estimation 249
5 Bias Correction of OLSE in AR Models 285
6 State Space Modeling 313
III Nonparametric Statistical Methods 391
7 Difference between Two-Sample Means 393
8 Independence between Two Samples 445
Source Code Index 485
Index 489

link :http://mihd.net/wi3vms
注：有20m大小，请使用迅雷等续传软件下载

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关键词：econometrics Econometric Computation Statistics statistic Methods econometrics Statistics 原创

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这里面根本没有链接！

耍人呀！！！！根本没东西里面！

注意看link，进入后点击request download link，

然后右上角有download file即可下载，大家要了解一下这种下载方式，呵呵。

no problem. it works. thanks.

Thanks. That is a great book!

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