On the least squares estimator asymptotic normality of the multivariate symmetric textured surface parameters

DOI10.1090/tpms/1161OpenAlexW4205596652MaRDI QIDQ5018762

I. M. Savych, Alexander V. Ivanov

Publication date: 22 December 2021

Published in: Theory of Probability and Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1090/tpms/1161

zbMATH Keywords

asymptotic normalitycovariance functionspectral densityBrouwer fixed-point theoremlinearization theoremasymptotic uniquenesshomogeneous and isotropic Gaussian random fieldspectral measure of regression function\( \mu \)-admissibilityleast squares estimate in Walker sensemultivariate trigonometric modeltexture surface

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Linear inference, regression (62J99) General nonlinear regression (62J02)

Related Items

Consistency of LSE for the many-dimensional symmetric textured surface parameters

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