Numerical Analysis For Statisticians
DOWNLOAD
Download Numerical Analysis For Statisticians PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Numerical Analysis For Statisticians book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Numerical Analysis For Statisticians
DOWNLOAD
Author : Kenneth Lange
language : en
Publisher: Springer Science & Business Media
Release Date : 1999
Numerical Analysis For Statisticians written by Kenneth Lange and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mathematics categories.
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.
Numerical Methods Of Statistics
DOWNLOAD
Author : John F. Monahan
language : en
Publisher: Cambridge University Press
Release Date : 2001-02-05
Numerical Methods Of Statistics written by John F. Monahan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-05 with Computers categories.
This 2001 book provides a basic background in numerical analysis and its applications in statistics.
Numerical Methods Of Statistics
DOWNLOAD
Author : John F. Monahan
language : en
Publisher:
Release Date : 2011
Numerical Methods Of Statistics written by John F. Monahan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Electronic book categories.
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.
An Introduction To The Mathematical Analysis Of Statistics
DOWNLOAD
Author : Chester Hume Forsyth
language : en
Publisher:
Release Date : 1924
An Introduction To The Mathematical Analysis Of Statistics written by Chester Hume Forsyth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1924 with Mathematical statistics categories.
The Fundamental Principles Of Mathematical Statistics
DOWNLOAD
Author : Hugh Herbert Wolfenden
language : en
Publisher:
Release Date : 1942
The Fundamental Principles Of Mathematical Statistics written by Hugh Herbert Wolfenden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1942 with Statistics categories.
Numerical Analysis Of Wavelet Methods
DOWNLOAD
Author : A. Cohen
language : en
Publisher: Elsevier
Release Date : 2003-04-29
Numerical Analysis Of Wavelet Methods written by A. Cohen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-29 with Mathematics categories.
Since their introduction in the 1980's, wavelets have become a powerful tool in mathematical analysis, with applications such as image compression, statistical estimation and numerical simulation of partial differential equations. One of their main attractive features is the ability to accurately represent fairly general functions with a small number of adaptively chosen wavelet coefficients, as well as to characterize the smoothness of such functions from the numerical behaviour of these coefficients. The theoretical pillar that underlies such properties involves approximation theory and function spaces, and plays a pivotal role in the analysis of wavelet-based numerical methods. This book offers a self-contained treatment of wavelets, which includes this theoretical pillar and it applications to the numerical treatment of partial differential equations. Its key features are:1. Self-contained introduction to wavelet bases and related numerical algorithms, from the simplest examples to the most numerically useful general constructions.2. Full treatment of the theoretical foundations that are crucial for the analysisof wavelets and other related multiscale methods : function spaces, linear and nonlinear approximation, interpolation theory.3. Applications of these concepts to the numerical treatment of partial differential equations : multilevel preconditioning, sparse approximations of differential and integral operators, adaptive discretization strategies.
A Handbook Of Numerical And Statistical Techniques
DOWNLOAD
Author : J. H. Pollard
language : en
Publisher: CUP Archive
Release Date : 1977
A Handbook Of Numerical And Statistical Techniques written by J. H. Pollard and has been published by CUP Archive this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.
This handbook is designed for experimental scientists, particularly those in the life sciences. It is for the non-specialist, and although it assumes only a little knowledge of statistics and mathematics, those with a deeper understanding will also find it useful. The book is directed at the scientist who wishes to solve his numerical and statistical problems on a programmable calculator, mini-computer or interactive terminal. The volume is also useful for the user of full-scale computer systems in that it describes how the large computer solves numerical and statistical problems. The book is divided into three parts. Part I deals with numerical techniques and Part II with statistical techniques. Part III is devoted to the method of least squares which can be regarded as both a statistical and numerical method. The handbook shows clearly how each calculation is performed. Each technique is illustrated by at least one example and there are worked examples and exercises throughout the volume.
Catalogue Of The University Of Michigan
DOWNLOAD
Author : University of Michigan
language : en
Publisher:
Release Date : 1967
Catalogue Of The University Of Michigan written by University of Michigan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with categories.
Announcements for the following year included in some vols.
Elements Of Statistical Computing
DOWNLOAD
Author : R.A. Thisted
language : en
Publisher: Routledge
Release Date : 2017-10-19
Elements Of Statistical Computing written by R.A. Thisted and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Mathematics categories.
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.
University Of Michigan Official Publication
DOWNLOAD
Author :
language : en
Publisher: UM Libraries
Release Date : 1967
University Of Michigan Official Publication written by and has been published by UM Libraries this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with Education, Higher categories.