Data Analysis Using The Method Of Least Squares
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Data Analysis Using The Method Of Least Squares
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Author : John Wolberg
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-08
Data Analysis Using The Method Of Least Squares written by John Wolberg 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 2006-02-08 with Mathematics categories.
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
Data Analysis Using The Method Of Least Squares
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Author : John Wolberg
language : en
Publisher: Springer
Release Date : 2009-09-02
Data Analysis Using The Method Of Least Squares written by John Wolberg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-02 with Mathematics categories.
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
Least Squares Data Fitting With Applications
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Author : Per Christian Hansen
language : en
Publisher: JHU Press
Release Date : 2013-01-15
Least Squares Data Fitting With Applications written by Per Christian Hansen and has been published by JHU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Mathematics categories.
A lucid explanation of the intricacies of both simple and complex least squares methods. As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main concern of Least Squares Data Fitting with Applications is how to do this on a computer with efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical setting and the computational issues. In a number of applications, the accuracy and efficiency of the least squares fit is central, and Per Christian Hansen, Víctor Pereyra, and Godela Scherer survey modern computational methods and illustrate them in fields ranging from engineering and environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a hands-on guide, with accessible text and carefully explained problems. Included are • an overview of computational methods together with their properties and advantages • topics from statistical regression analysis that help readers to understand and evaluate the computed solutions • many examples that illustrate the techniques and algorithms Least Squares Data Fitting with Applications can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering.
Least Squares Methods In Data Analysis
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Author :
language : en
Publisher:
Release Date : 1969
Least Squares Methods In Data Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Least squares categories.
Fitting Equations To Data
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Author : Cuthbert Daniel
language : en
Publisher: Wiley-Interscience
Release Date : 1999-08-30
Fitting Equations To Data written by Cuthbert Daniel and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-08-30 with Mathematics categories.
Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropriate forms of the variables, to judge which combinations of variables are most influential, and to state the conditions under which the fitted equations are applicable. This edition includes numerous extensions and new devices such as component and component-plus-residual plots, cross verification with a second sample, and an index of required x-precision; also, the search for better subset equations is enlarged to cover 262,144 alternatives. The methods described have been applied in agricultural, environmental, management, marketing, medical, physical, and social sciences. Mathematics is kept to the level of college algebra.
Handbook Of Partial Least Squares
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Author : Vincenzo Esposito Vinzi
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-10
Handbook Of Partial Least Squares written by Vincenzo Esposito Vinzi 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 2010-03-10 with Mathematics categories.
This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. The handbook serves both as an introduction for those without prior knowledge of PLS and as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.
Least Squares Methods In Data Analysis
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Author : R. S. Anderssen
language : en
Publisher:
Release Date : 1973
Least Squares Methods In Data Analysis written by R. S. Anderssen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Least squares categories.
Least Squares Analysis Of Data With Unequal Subclass Numbers
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Author : Walter Robert Harvey
language : en
Publisher:
Release Date : 1960
Least Squares Analysis Of Data With Unequal Subclass Numbers written by Walter Robert Harvey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1960 with Least squares categories.
Quasi Least Squares Regression
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Author : Justine Shults
language : en
Publisher: CRC Press
Release Date : 2014-01-28
Quasi Least Squares Regression written by Justine Shults and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-28 with Mathematics categories.
Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS also allows for improved analysis with an unstructured correlation matrix. Special focus is given to goodness-of-fit analysis as well as new strategies for selecting the appropriate working correlation structure for QLS and GEE. A chapter on longitudinal binary data tackles recent issues raised in the statistical literature regarding the appropriateness of semi-parametric methods, such as GEE and QLS, for the analysis of binary data; this chapter includes a comparison with the first-order Markov maximum-likelihood (MARK1ML) approach for binary data. Examples throughout the book demonstrate each topic of discussion. In particular, a fully worked out example leads readers from model building and interpretation to the planning stages for a future study (including sample size calculations). The code provided enables readers to replicate many of the examples in Stata, often with corresponding R, SAS, or MATLAB® code offered in the text or on the book’s website.
General Principles Of The Method Of Least Squares
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Author : Dana Prescott Bartlett
language : en
Publisher: Kessinger Publishing
Release Date : 2008-10-01
General Principles Of The Method Of Least Squares written by Dana Prescott Bartlett and has been published by Kessinger Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-01 with Law categories.
This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.