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Statistical Computing: Existing Methods and Recent Development (Iit Kanpur Series of Advanced Texts), by D. Kundu
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Statistical Computing: Existing Methods and Recent Developments attempts to provide a state of the art account of existing methods and recent developments in the so called new field of Statistical Computing. Fourteen different chapters deal with a wide range of topics. This includes introductory topics such as the basic numerical analysis methods, random number generation, graphical techniques used in statistical data analysis and other areas. It also covers the more specialized techniques such as the EM algorithm, genetic algorithms, nonparametric smoothing techniques, resampling methods, and artificial neural network models, to name a few. In addition, the volume also deals with the computational issues involved in the analysis of mixture models, adaptive designs, weighted distributions, and statistical signal processing, topics which are unlikely to be covered in a standard text on Statistical Computing.
- Sales Rank: #3674417 in Books
- Published on: 2004-08-01
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 6.50" w x 1.00" l,
- Binding: Hardcover
- 428 pages
About the Author
Debasis Kundu.: Department of Mathematics Indian Institute of Technology Kanpur, Kanpur Ayanendranath Basu.: Applied Statistical Unit Indian Statistical Institute, Kolkata
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