Application of pareto optimality to linear models with errors-in-all-variables

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Application of pareto optimality to linear models with errors-in-all-variables

In some geodetic and geoinformatic parametric modeling, the objectives to be minimized are often expressed in different forms, resulting in different parametric values for the estimated parameters at non-zero residuals. Sometimes, these objectives may compete in a Pareto sense, namely a small change...

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Bibliographic Details
Main Authors:	Palancz, B., Awange, Joseph
Format:	Journal Article
Published:	Springer - Verlag 2011
Subjects:	Error-in-all-variables Gauss–Markov model (GM) Pareto optimality Nonlinear adjustment Least squares solution Multiobjective optimization Least geometric mean deviation (GMD) Total least squares solution
Online Access:	http://hdl.handle.net/20.500.11937/21160

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