Elements of Statistical Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Elements of Statistical Computing write by R.A. Thisted. This book was released on 2017-10-19. Elements of Statistical Computing available in PDF, EPUB and Kindle. 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.
Elements of Computational Statistics
Elements of Computational Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Elements of Computational Statistics write by James E. Gentle. This book was released on 2006-04-18. Elements of Computational Statistics available in PDF, EPUB and Kindle. Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books
Elements of Statistical Computing
Elements of Statistical Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Elements of Statistical Computing write by R.A. Thisted. This book was released on 2017-10-19. Elements of Statistical Computing available in PDF, EPUB and Kindle. 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.
Computational Statistics
Computational Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Statistics write by Geof H. Givens. This book was released on 2012-10-09. Computational Statistics available in PDF, EPUB and Kindle. This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.
Statistical Computing with R
Statistical Computing with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Computing with R write by Maria L. Rizzo. This book was released on 2007-11-15. Statistical Computing with R available in PDF, EPUB and Kindle. 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
