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This book describes techniques used in computational statistics and considers some of the areas of applications, such as density estimation and model building, in which computationally intensive methods are useful. In computational statistics, computation is viewed as an instrument of discovery; the role of the computer is not just to store data, perform computations, and produce graphs and tables, but additionally to suggest to the scientist alternative models and theories. Another characteristic of computational statistics is the computational intensity of the methods; even for datasets of medium size, high performance computers are required to perform the computations. Graphical displays and visualization methods are usually integral features of computational statistics.
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Book Details
First Sentence
"The purpose of an exploration of data may be rather limited and ad hoc, or the purpose may be more general, perhaps to gain understanding of some natural phenomenon."
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First Sentence
"The purpose of an exploration of data may be rather limited and ad hoc, or the purpose may be more general, perhaps to gain understanding of some natural phenomenon."
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- Created April 29, 2008
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July 28, 2014 | Edited by ImportBot | import new book |
April 6, 2014 | Edited by ImportBot | Added IA ID. |
August 5, 2010 | Edited by IdentifierBot | added LibraryThing ID |
April 24, 2010 | Edited by Open Library Bot | Fixed duplicate goodreads IDs. |
April 29, 2008 | Created by an anonymous user | Imported from amazon.com record |