On the Gauss–Helmert model with a singular dispersion matrix where BQ is of smaller rank than B

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摘要

The case of a singular dispersion matrix within the Gauss–Helmert Model has been considered before, usually assuming a sufficiently small rank deficiency in order to guarantee a unique solution for both the residual vector as well as the estimated parameter vector of type Best Linear Uniformly Unbiased Estimate (BLUUE). In this contribution the emphasis is shifted towards establishing necessary and sufficient conditions for a unique residual vector, along with a unique estimate of type Best Linear Uniformly Minimum Bias Estimate (BLUMBE) for the parameter vector. Should uniformly unbiased estimates exist, the BLUMBE obviously becomes the BLUUE.

论文关键词:Adjustment theory,Parameter estimation,Gauss–Helmert model,Singular dispersion matrix

论文评审过程:Received 6 October 2014, Revised 20 February 2015, Available online 25 March 2015, Version of Record 15 August 2015.

论文官网地址:https://doi.org/10.1016/j.cam.2015.03.006