Asymptotic results on nonlinear approximation of regression functions and weighted least squares

DOI10.1080/02331888008801521zbMath0453.62049OpenAlexW2032900768MaRDI QIDQ3900844

Helga Königsdorf, Wolfgang H. Schmidt

Publication date: 1980

Published in: Series Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888008801521

zbMATH Keywords

strong consistencyordinary least squaresgeneralized least squares estimatorsweighted least squares estimatorsheterogeneous variances

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) General nonlinear regression (62J02) Strong limit theorems (60F15)

Related Items (5)

The large deviation results for the nonlinear regression model with dependent errors ⋮ Estimation of cusp in nonregular nonlinear regression models. ⋮ Large deviation for a least squares estimator in a nonlinear regression model ⋮ Second order asymptotics in nonlinear regression ⋮ Some Methodological Aspects of Validation of Models in Nonparametric Regression

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