Proceedings of the Statistical Computing Section PDF Download
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Author: American Statistical Association. Statistical Computing Section
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: American Statistical Association. Statistical Computing Section
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: American Statistical Association. Statistical Computing Section
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 147
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 147
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Book Description
Author: American Statistical Association. Statistical Computing Section
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 506
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Book Description
Papers presented at the annual meeting of the American Statistical Association ...
Author: WIlliam J. Kennedy
Publisher: Routledge
ISBN: 1351414585
Category : Mathematics
Languages : en
Pages : 360
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Book Description
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." ---Mathematics of Computation ." The text is highly readable and well illustrated with examples. The reader who intends to take a hand in designing his own regression and multivariate packages will find a storehouse of information and a valuable resource in the field of statistical computing.
Author: American statistical association. Statistical computing section
Publisher:
ISBN:
Category :
Languages : en
Pages : 425
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 391
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Book Description
Author: American Statistical Association. Statistical Computing Section
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 272
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Book Description
Author:
Publisher:
ISBN:
Category : Census
Languages : en
Pages : 564
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Book Description
Author: R.A. Thisted
Publisher: Routledge
ISBN: 1351452746
Category : Mathematics
Languages : en
Pages : 456
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Book Description
Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.
