Total least squares adjustment in partial errors-in-variables models: algorithm and statistical analysis

DOI10.1007/s00190-012-0552-9zbMath1351.86029OpenAlexW2084423326MaRDI QIDQ727456

Jingnan Liu, Peiliang Xu, Chuang Shi

Publication date: 6 December 2016

Published in: Journal of Geodesy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00190-012-0552-9

zbMATH Keywords

total least squareserrors-in-variables modelnonlinear adjustment

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Geostatistics (86A32)

Related Items (9)

Jackknife resampling parameter estimation method for weighted total least squares ⋮ Jackknife resample method for precision estimation of weighted total least squares ⋮ Jackknife method for the location of gross errors in weighted total least squares ⋮ Regression prediction method that is based on the partial errors-in-variables model ⋮ Weighted total least-squares joint adjustment with weight correction factors ⋮ Sterling interpolation method for precision estimation of total least squares ⋮ Total least norm solution for linear structured EIV model ⋮ Improving the weighted least squares estimation of parameters in errors-in-variables models ⋮ Iteratively reweighted total least squares for PEIV model

Uses Software

• VanHuffel

Cites Work

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