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Thursday, July 30, 2020 | History

3 edition of Computing science and statistics found in the catalog.

Computing science and statistics

Computing science and statistics

statistics of many parameters : curves, images, spatial models

  • 317 Want to read
  • 23 Currently reading

Published by Springer-Verlag in New York .
Written in English

    Subjects:
  • Mathematical statistics -- Data processing -- Congresses.,
  • Numerical analysis -- Data processing -- Congresses..,
  • Computer science -- Congresses.

  • Edition Notes

    StatementConnie Page, Raoul LePage, editors.
    ContributionsPage, Connie., LePage, Raoul, 1938-, Symposium on the Interface: Computing Science and Statistics (22nd : 1990 : Kellogg Center)
    Classifications
    LC ClassificationsQA276.4 .C592 1991
    The Physical Object
    Paginationxiii, 582 p. :
    Number of Pages582
    ID Numbers
    Open LibraryOL1553662M
    ISBN 100387977198
    LC Control Number91033710

    Add tags for "Computing science and statistics: proceedings of the 21st Symposium on the Interface, Orlando, Florida, April, ". Be the first. Similar Items. The Handbook of Parallel Computing and Statistics systematically applies the principles of parallel computing for solving increasingly complex problems in statistics research. This unique reference weaves together the principles and theoretical models of parallel computing with the design, analysis, and application of algorithms for solving.

    PDF Ebook Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences, by Milton, Jes. Here, we have many e-book Introduction To Probability And Statistics: Principles And Applications For Engineering And The Computing Sciences, By Milton, Jes and also collections to review. "This text will fill a gap in the education of a sophisticated computer science student who has a firm base in mathematics and statistics." (Computing Reviews, May 7, ) " this textbook would be ideal." (The American Statistician, February ).

    Maria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in , she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. IMO, a degree in Statistics (which is rarer) can separate you from those with degrees in Computer Science (which is more common). There is a lot of crossover between the two degrees. About 1/4 of my Statistics courses are computer science based (C programming, SAS programming, Discrete Mathematics, Numerical Calculus, and some upper level Stats.


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Computing science and statistics Download PDF EPUB FB2

Addresses the use of statistical concepts in computing science, for example, in machine learning, computer vision and data analytics, as well as the use of computers in data modelling, prediction and analysis ; Publishes original research reports, authoritative review papers, discussion papers, book review and software review sections.

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Some shocking statistics (USA) Nine in ten parents want their child to study computer science, but only one in four schools teach computer programming. Computing makes up 2/3 of projected new jobs in STEM (Science, Technology, Engineering, and Math). Computing occupations are among the highest-paying jobs for new graduates.

Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics.

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Statistical computing is the interface between statistics and computer science. It is the area of computational science (or scientific computing) specific to the mathematical science of statistics.

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A comprehensive introduction to sampling-based methods in statistical computing. The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models.

The target readership includes undergraduates, postgraduates in statistics and allied fields such as computer science and mathematics, scientific research workers, and practitioners of statistics and numerical techniques.

I strongly recommend it for all scientific libraries.” (Soubhik Chakraborty, ACM Computing Reviews, October, )Reviews: 1. About this Item: Tata McGraw-Hill Education Pvt. Ltd., Softcover.

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