Elements of Statistical Computing

Elements of Statistical Computing

Author: R.A. Thisted

Publisher: Routledge

Published: 2017-10-19

Total Pages: 456

ISBN-13: 1351452746

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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.


Statistical Computing

Statistical Computing

Author: WIlliam J. Kennedy

Publisher: Routledge

Published: 2021-06-23

Total Pages: 608

ISBN-13: 1351414593

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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.


Statistical Computing

Statistical Computing

Author: WIlliam J. Kennedy

Publisher: Routledge

Published: 2021-06-23

Total Pages: 612

ISBN-13: 1351414585

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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.


COMPSTAT 2008

COMPSTAT 2008

Author: Paula Brito

Publisher: Springer Science & Business Media

Published: 2008-08-11

Total Pages: 557

ISBN-13: 3790820849

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18th Symposium Held in Porto, Portugal, 2008


Statistical Computing with R

Statistical Computing with R

Author: Maria L. Rizzo

Publisher: CRC Press

Published: 2007-11-15

Total Pages: 412

ISBN-13: 1420010719

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Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditiona


Computational Statistics

Computational Statistics

Author: James E. Gentle

Publisher: Springer Science & Business Media

Published: 2009-07-28

Total Pages: 732

ISBN-13: 0387981446

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Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.


Random Number Generation and Monte Carlo Methods

Random Number Generation and Monte Carlo Methods

Author: James E. Gentle

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 252

ISBN-13: 147572960X

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Monte Carlo simulation has become one of the most important tools in all fields of science. This book surveys the basic techniques and principles of the subject, as well as general techniques useful in more complicated models and in novel settings. The emphasis throughout is on practical methods that work well in current computing environments.


Dynamic Graphics Statistics

Dynamic Graphics Statistics

Author: Cleveland

Publisher: CRC Press

Published: 1988-07-08

Total Pages: 456

ISBN-13: 9780534091446

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The essential characteristic of a dynamic graphical method is the direct manipulation of elements of a graph on a computer screen, which in high-performance implementations, the elements change virtually instantaneously on the screen. This book contains a collection of papers about dynamic graphics dating from the late 1960s to 1988. Although technology has advanced considerably, the fundamental ideas about basic graphical principles and data-analytic goals are still relevant today.