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VDM Verlag Variance component estimation in linear models: Theoretical and practical aspects on Global Positioning System

Name: Variance component estimation in linear models: Theoretical and practical aspects on Global Positioning System
Brand: VDM Verlag
Price: 65.6 GBP
Availability: InStock

Earth Sciences

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Description

Data processing in many fields of applications often relies on the least-squares method, for which a realistic stochastic model of the observables is needed. The estimation of the unknown (co)variance components is generally referred to as variance component estimation (VCE). A review of the existing VCE methods such as MINQUE, BIQUE, and REML is given, and the method of least-squares variance component estimation is in particular discussed. Theoretical and practical aspects of the method are elaborated. In the theoretical viewpoint, an important feature of the method is the capability of applying hypothesis testing to the stochastic model. One can then find an appropriate structure of the stochastic model which includes the relevant noise components into the covariance matrix. In the practical viewpoint, the application of the method to the global positioning system (GPS) observables is presented. Issues like time-correlated noise, satellite elevation dependence, and correlation between different observation types are of particular interest.

Product Specifications

Brand: VDM Verlag
Format: paperback
ASIN: 3639268512
Category: Books > Science, Nature & Maths > Earth Sciences
Domain: Amazon UK
Release Date: 06 August 2010
Listed Since: 10 August 2010

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VDM Verlag Variance component estimation in linear models: Theoretical and practical aspects on Global Positioning System

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