NDLI: Robust estimation of nonlinear structural models

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Journal of Applied and Industrial Mathematics : Volume 11

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The finite element method in anomalous diffusion problems

On complexity measures of complexes of faces in the unit cube

Systems of differential equations with periodic coefficients

Robust estimation of nonlinear structural models

On the m-capacitated peripatetic salesman problem with capacity restrictions

On extremely transitive extended perfect codes

On solvability conditions for the Neumann problem for a polyharmonic equation in the unit ball

Axial-radial acoustic eigenoscillations near a thin-walled obstacle in a cylindrical channel with stepped narrowings

On consistency of a generalized orthoregressive parameter estimator for a linear dynamical system

Impact of the Hamming weight of the difference of two random variables on the probability of its preservation after addition and subtraction

Existence of an optimal shape of the thin rigid inclusions in the Kirchhoff-Love plate

Properties of the ray transforms of two-dimensional 2-tensor fields defined in the unit disk

On solvability of the axial 8-index assignment problem on single-cycle permutations

Circuits asymptotically optimal in reliability in special bases

Embedding of eigenfunctions of the Johnson graph into eigenfunctions of the Hamming graph

A stochastic model of biota damage in the case of accidental pollution of environment

Journal of Applied and Industrial Mathematics : Volume 7

Journal of Applied and Industrial Mathematics : Volume 6

Journal of Applied and Industrial Mathematics : Volume 5

Journal of Applied and Industrial Mathematics : Volume 4

Journal of Applied and Industrial Mathematics : Volume 3

Journal of Applied and Industrial Mathematics : Volume 2

Journal of Applied and Industrial Mathematics : Volume 1

Robust estimation of nonlinear structural models

Content Provider	Springer Nature Link
Author	Denisov, V. I. Timofeeva, A. Yu. Khailenko, E. A. Buzmakova, O. I.
Copyright Year	2014
Abstract	The problem is considered of identification of nonlinear error-in-variables models under conditions of a heavy contamination of the sample, including the presence of outliers (i.e., anomalous observations). On the basis of robust estimation methods, we propose a development of the algorithms of adjusted and total least squares. This has enabled us to improve the accuracy of the response prediction in the presence of outliers in the sample. The algorithms are used for constructing the Engel curve from the budget survey data. In result, we draw better conclusions about the regularities of the household behavior when the income changes.
Starting Page	28
Ending Page	39
Page Count	12
File Format	PDF
ISSN	19904789
Journal	Journal of Applied and Industrial Mathematics
Volume Number	8
Issue Number	1
e-ISSN	19904797
Language	English
Publisher	Springer US
Publisher Date	2014-03-06
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	structural relation robust estimation least-squares method penalized regression spline Engel curve budget survey Mathematics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Industrial and Manufacturing Engineering

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Estimation in Semi-parametric and Additive Regression Using Smoothing and Regression Spline

Relation between the coefficients of simple and multiple regression models

Robust estimation in software experiments

A review of existence criteria for parameter estimation of the Michaelis–Menten regression model

S-estimation for penalized regression splines (2009).

S-estimation for penalized regression splines (2008).

S-Estimation for Penalized Regression Splines (2008)

Efficient robust estimation of time-series regression models

S-Estimation for Penalized Regression Splines (2009)

Robust estimation of nonlinear structural models

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