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The Theory of Errors and Method of Least Squares
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A Treatise On the Method of Least Squares
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A Treatise On the Method of Least Squares
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A Text Book on the Method of Least Squares
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A Text Book on the Method of Least Squares
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An Elementary Treatise upon the Method of Least Squares
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An Elementary Treatise upon the Method of Least Squares
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Elementary Linear Algebra
, covering many important real-world applications, including graph theory, circuit theory, Markov chains, elementary coding theory, least-squares;
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Data Fitting and Uncertainty
scientists or corresponding undergraduates who are interested in data fitting by the method of least-squares approximation, but have no or only;
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The Least-Squares Finite Element Method
This is the first monograph on the subject, providing a comprehensive introduction to the LSFEM method for numerical solution of PDEs;
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Partial Least Squares Path Modeling
This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview;
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Supremum & Stability of Weighted Pseudoinverses & Weighted Least Squares Problems
of weighted pseudoinverses, weighted least squares problems and constrained weighted least squares problems, and stable methods for solving weighted;
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Inverse Problem Theory and Methods for Model Parameter Estimation
algorithmic details for Monte Carlo methods, least-squares discrete problems, and least-squares problems involving functions. In addition, some;
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Residual Stress Measurement and the Slitting Method
, weighted least squares fit and convergence test in stress estimation, and computer programs to facilitate the implementation of the slitting method.;
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Understanding Least Squares Estimation and Geomatics Data Analysis
-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post;
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The Combination of Observations
First published in 1931, this book is the second edition of a 1917 original. The text provides an account of the method of least squares;
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Sensitivity Analysis in Linear Regression
presentation makes extensive use of examples to illustrate theory. The text assesses the effect of measurement errors on the estimated coefficients;
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Elements of the method of least squares
were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and;
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Econometrics
tests assess regression equivalence.Explore heteroscedasticity with the White method and with generalized least squares;
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Generalized Linear Models and Extensions
of maximum likelihood (ML) estimators and standard errors. Hardin and Hilbe show how iteratively reweighted least squares, another method;
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Fitting Linear Relationships
statistical estimation procedures. Detailed descriptions of the fitting of linear relationships by the method of least squares and the closely related;
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Linear Least Squares Computations
and modem results onlinear least squares computations in a convenient single source . . . develops the necessarymatrix algebra in the context;
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An Introduction to Numerical Analysis
Fourier transform, numerical differentiation, the method of lines, boundary value problems, the conjugate gradient method, and the least squares;
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Boundary Methods
problem. The final section of the book explores the boundary node method, which combines the BEM with moving least-squares approximants to produce;
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Simultaneous Equations Estimation
: instrumental variables, indirect least squares, generalized least squares, two-stage and three-stage least squares, and maximum likelihood. Many of the;
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Least Squares Data Fitting with Applications
As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a;
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