Elements of Statistical Computing

Elements of Statistical Computing
Author: R.A. Thisted
Publisher: Routledge
Total Pages: 456
Release: 2017-10-19
Genre: Mathematics
ISBN: 1351452746

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
Total Pages: 608
Release: 2021-06-23
Genre: Computers
ISBN: 1351414593

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 with R

Statistical Computing with R
Author: Maria L. Rizzo
Publisher: CRC Press
Total Pages: 412
Release: 2007-11-15
Genre: Reference
ISBN: 1420010719

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

Statistical Computing

Statistical Computing
Author: WIlliam J. Kennedy
Publisher: Routledge
Total Pages: 612
Release: 2021-06-23
Genre: Mathematics
ISBN: 1351414585

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.

Computational Statistics

Computational Statistics
Author: James E. Gentle
Publisher: Springer Science & Business Media
Total Pages: 732
Release: 2009-07-28
Genre: Mathematics
ISBN: 0387981446

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
Total Pages: 252
Release: 2013-03-14
Genre: Computers
ISBN: 147572960X

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
Total Pages: 456
Release: 1988-07-08
Genre: Mathematics
ISBN: 9780534091446

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.

Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface

Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface
Author: W. F. Eddy
Publisher: Springer Science & Business Media
Total Pages: 375
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461394643

The 13th Symposium on the Interface continued this series after a one year pause. The objective of these symposia is to provide a forum for the interchange of ideas of common concern to computer scientists and statisticians. The sessions of the 13th Symposium were held in the Pittsburgh Hilton Hotel, Gateway Center, Pittsburgh. Following established custom the 13th Symposium had organized workshops on various topics of interest to participants. The workshop format allowed the invited speakers to present their material variously as formal talks, tutorial sessions and open discussion. The Symposium schedule was also the customary one. Registration opened in late afternoon of March 11, 1981 and continued during the opening mixer held that evening: The formal opening of the Symposium was on the morning of March 12. The opening remarks were followed by Bradley Efron's address "Statistical Theory and the Computer." The rest of the daily schedule was three concurrent workshops in the morning and three in the afternoon with contributed poster sessions during the noon break. Additionally there were several commercial displays and guided tours of Carnegie-Mellon University's Computer Center, Computer Science research facilities, and Robotics Institute.