Numerical Analysis For Statisticians
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Author | : Kenneth Lange |
Publisher | : Springer Science & Business Media |
Total Pages | : 606 |
Release | : 2010-05-17 |
Genre | : Business & Economics |
ISBN | : 1441959459 |
Download Numerical Analysis for Statisticians Book in PDF, Epub and Kindle
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Author | : John F. Monahan |
Publisher | : Cambridge University Press |
Total Pages | : 465 |
Release | : 2011-04-18 |
Genre | : Computers |
ISBN | : 1139498002 |
Download Numerical Methods of Statistics Book in PDF, Epub and Kindle
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder–Mead search algorithm.
Author | : Kenneth Lange |
Publisher | : Springer Science & Business Media |
Total Pages | : 606 |
Release | : 2010-06-15 |
Genre | : Business & Economics |
ISBN | : 1441959440 |
Download Numerical Analysis for Statisticians Book in PDF, Epub and Kindle
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Author | : James P Howard, II |
Publisher | : CRC Press |
Total Pages | : 257 |
Release | : 2017-07-12 |
Genre | : Mathematics |
ISBN | : 1498723640 |
Download Computational Methods for Numerical Analysis with R Book in PDF, Epub and Kindle
Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.
Author | : G. Miller |
Publisher | : Cambridge University Press |
Total Pages | : 583 |
Release | : 2014-05-29 |
Genre | : Mathematics |
ISBN | : 1107021081 |
Download Numerical Analysis for Engineers and Scientists Book in PDF, Epub and Kindle
A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.
Author | : Kenneth Lange |
Publisher | : Springer Science & Business Media |
Total Pages | : 376 |
Release | : 1999 |
Genre | : Mathematics |
ISBN | : 9780387949796 |
Download Numerical Analysis for Statisticians Book in PDF, Epub and Kindle
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Author | : James E. Gentle |
Publisher | : Springer Science & Business Media |
Total Pages | : 427 |
Release | : 2006-04-18 |
Genre | : Computers |
ISBN | : 0387216111 |
Download Elements of Computational Statistics Book 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
Author | : R.A. Thisted |
Publisher | : Routledge |
Total Pages | : 448 |
Release | : 2017-10-19 |
Genre | : Mathematics |
ISBN | : 1351452754 |
Download Elements of Statistical Computing Book 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.
Author | : John F. Monahan |
Publisher | : Cambridge University Press |
Total Pages | : 446 |
Release | : 2001-02-05 |
Genre | : Computers |
ISBN | : 9780521791687 |
Download Numerical Methods of Statistics Book in PDF, Epub and Kindle
This 2001 book provides a basic background in numerical analysis and its applications in statistics.
Author | : Graham W. Griffiths |
Publisher | : Cambridge University Press |
Total Pages | : 637 |
Release | : 2016-04-26 |
Genre | : Mathematics |
ISBN | : 131665415X |
Download Numerical Analysis Using R Book in PDF, Epub and Kindle
This book presents the latest numerical solutions to initial value problems and boundary value problems described by ODEs and PDEs. The author offers practical methods that can be adapted to solve wide ranges of problems and illustrates them in the increasingly popular open source computer language R, allowing integration with more statistically based methods. The book begins with standard techniques, followed by an overview of 'high resolution' flux limiters and WENO to solve problems with solutions exhibiting high gradient phenomena. Meshless methods using radial basis functions are then discussed in the context of scattered data interpolation and the solution of PDEs on irregular grids. Three detailed case studies demonstrate how numerical methods can be used to tackle very different complex problems. With its focus on practical solutions to real-world problems, this book will be useful to students and practitioners in all areas of science and engineering, especially those using R.