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Elements Of Computational Statistics

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Elements Of Computational StatisticsISBN13:9780387954899ISBN10:0387954899Author:Gentle, James E. (Author)Description:In Recent Years Developments In Statistics Have To A Great Extent Gone Hand In Hand With Developments In Computing Indeed, Many Of The Recent Advances In Statistics Have Been Dependent On Advances In Computer Science And Techn- Ogy Many Of The Currently Interesting Statistical Methods Are Computationally Intensive, Eitherbecausetheyrequireverylargenumbersofnumericalcompu- Tions Or Because They Depend On Visualization Of Many Projections Of The Data The Class Of Statistical Methods Characterized By Computational Intensity And The Supporting Theory For Such Methods Constitute A Discipline Called Com- Tational Statistics (Here, I Am Following Wegman, 1988, And Distinguishing Computationalstatisticsfromstatisticalcomputing, Whichwetaketomean Computational Methods, Including Numerical Analysis, For Statisticians ) The Computationally-Intensive Methods Of Modern Statistics Rely Heavily On The Developments In Statistical Computing And Numerical Analysis Generally Computational Statistics Shares Two Hallmarks With Other Computational Sciences, Such As Computational Physics, Computational Biology, And So On One Is A Characteristic Of The Methodology: It Is Computationally Intensive The Other Is The Nature Of The Tools Of Discovery Tools Of The Scienti?C Method Have Generally Been Logical Deduction (Theory) And Observation (Experimentation) The Computer, Used To Explore Large Numbers Of Scenarios, Constitutes A New Type Of Tool Use Of The Computer To Simulate Alternatives And To Present The Research Worker With Information About These Alternatives Is A Characteristic Of Thecomputationalsciences Insomewaysthisusageisakintoexperimentation The Observations, However, Are Generated From An Assumed Model, And Those Simulated Data Are Used To Evaluate And Study The Model Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2005-06-28Weight:1.75 lbsDimensions:1.3'' H x 9.3'' L x 6.4'' WNumber of Pages:420Language:English

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Elements Of Computational Statistics

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Book Title: Elements Of Computational Statistics

Item Length: 9.3in

Item Width: 6.1in

Author: James E. Gentle

Publication Name: Elements of Computational Statistics

Format: Hardcover

Language: English

Publisher: Springer NY

Series: Statistics and Computing Ser.

Publication Year: 2005

Type: Textbook

Item Weight: 62.1 Oz

Number of Pages: Xviii, 420 Pages

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