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Computational Methods in Statistics and Econometrics.

Article Excerpt
Computational Methods in Statistics and Econometrics.

Hisashi TANIZAKI. New York: Marcel Dekker, 2004. ISBN: 0-8247-4804-2. xix + 494 pp. + CD. $150.00.

According to the cover, this book "showcases Monte Carlo methods and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data." From the Preface, it can be inferred that Tanizaki's intended audience is first-year graduate students in statistics and econometrics interested in the application of computationally intensive techniques. The book comes with a CD-ROM containing all source code illustrated in the text and used to produce the large number of computational results reported through tables and graphs. The first part of the book might in fact be viewed as an extensive user's guide for a set of Fortran-77 subroutines for random number generation. C and Fortran programs to generate the computational results featuring in the second part of the book are also included on the CD-ROM.

A general introductory computational methods book suitable for statisticians and econometricians should do the following:

* Explain the theory behind various methods in a simple and intuitive manner rather than expound on the derivation of the methods

* Help the user with the choice and application of competitive methods available to solve statistical and econometric problems

* Provide useful references to more detailed published material on methods, available algorithms, and applications

* Promote the use of good-quality software and help avoid "reinventing the wheel" when writing programs.

In addition, if the focus is on applications and the intended audience is graduate students, then the book should also:

*...

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