A Text Book on the Method of Least Squares
Author : Mansfield Merriman
Publisher :
Page : 214 pages
File Size : 39,22 MB
Release : 1884
Category : Least squares
ISBN :
Data Analysis Using the Method of Least Squares
Author : John Wolberg
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 11,34 MB
Release : 2006-02-08
Category : Mathematics
ISBN : 3540317201
Book Description
Develops the full power of the least-squares method Enables engineers and scientists to apply the method to their specific problem Deals with linear as well as with non-linear least-squares, parametric as well as non-parametric methods
Solving Least Squares Problems
Author : Charles L. Lawson
Publisher : SIAM
Page : 348 pages
File Size : 43,6 MB
Release : 1995-12-01
Category : Mathematics
ISBN : 0898713560
Book Description
This Classic edition includes a new appendix which summarizes the major developments since the book was originally published in 1974. The additions are organized in short sections associated with each chapter. An additional 230 references have been added, bringing the bibliography to over 400 entries. Appendix C has been edited to reflect changes in the associated software package and software distribution method.
A Text-book on the Method of Least Squares ...
Author : Mansfield Merriman
Publisher :
Page : pages
File Size : 19,91 MB
Release : 1924
Category :
ISBN :
Book Description
Introduction to Applied Linear Algebra
Author : Stephen Boyd
Publisher : Cambridge University Press
Page : 477 pages
File Size : 22,80 MB
Release : 2018-06-07
Category : Business & Economics
ISBN : 1316518965
Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
The Total Least Squares Problem
Author : Sabine Van Huffel
Publisher : SIAM
Page : 302 pages
File Size : 20,95 MB
Release : 1991-01-01
Category : Mathematics
ISBN : 0898712750
Book Description
This is the first book devoted entirely to total least squares. The authors give a unified presentation of the TLS problem. A description of its basic principles are given, the various algebraic, statistical and sensitivity properties of the problem are discussed, and generalizations are presented. Applications are surveyed to facilitate uses in an even wider range of applications. Whenever possible, comparison is made with the well-known least squares methods. A basic knowledge of numerical linear algebra, matrix computations, and some notion of elementary statistics is required of the reader; however, some background material is included to make the book reasonably self-contained.
Regression Analysis
Author : Ashish Sen
Publisher : Springer Science & Business Media
Page : 361 pages
File Size : 41,77 MB
Release : 2012-12-06
Category : Psychology
ISBN : 1461244706
Book Description
An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject.
The Least-Squares Finite Element Method
Author : Bo-nan Jiang
Publisher : Springer Science & Business Media
Page : 444 pages
File Size : 20,62 MB
Release : 1998-06-22
Category : Computers
ISBN : 9783540639343
Book Description
This is the first monograph on the subject, providing a comprehensive introduction to the LSFEM method for numerical solution of PDEs. LSFEM is simple, efficient and robust, and can solve a wide range of problems in fluid dynamics and electromagnetics.
Linear Models and Generalizations
Author : C. Radhakrishna Rao
Publisher : Springer Science & Business Media
Page : 583 pages
File Size : 25,95 MB
Release : 2007-10-15
Category : Mathematics
ISBN : 3540742271
Book Description
Revised and updated with the latest results, this Third Edition explores the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions. They not only use least squares theory, but also alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights of coverage include sensitivity analysis and model selection, an analysis of incomplete data, an analysis of categorical data based on a unified presentation of generalized linear models, and an extensive appendix on matrix theory.
Numerical Methods for Least Squares Problems
Author : Ake Bjorck
Publisher : SIAM
Page : 425 pages
File Size : 30,2 MB
Release : 1996-01-01
Category : Mathematics
ISBN : 9781611971484
Book Description
The method of least squares was discovered by Gauss in 1795. It has since become the principal tool to reduce the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control. In the last 20 years there has been a great increase in the capacity for automatic data capturing and computing. Least squares problems of large size are now routinely solved. Tremendous progress has been made in numerical methods for least squares problems, in particular for generalized and modified least squares problems and direct and iterative methods for sparse problems. Until now there has not been a monograph that covers the full spectrum of relevant problems and methods in least squares. This volume gives an in-depth treatment of topics such as methods for sparse least squares problems, iterative methods, modified least squares, weighted problems, and constrained and regularized problems. The more than 800 references provide a comprehensive survey of the available literature on the subject.
