Elements of Computational Statistics
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Word Count
110,000 words, Guess
Page Count
440 pages
Identifiers
- Open LibraryOL7448966M
- Internet Archiveelementscomputat00gent_362
- Internet Archiveelementarynumber00gent
- ISBN-100387954899
- ISBN-139780387954899
and 2 more
- Goodreads2787451
- LibraryThing5164908
Classifications
- DDC519.5
Description
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.
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.
Subjects
Other Editions
- Elements of Computational Statistics
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