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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/93487
Title: Robust 2LS-Estimator for Nonlinear SEM-Model
Authors: Staleuskaya, S.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2007
Publisher: Minsk: BSU
Abstract: Traditional estimators of parameters of simultaneous equations models are based on the least squares method. This estimators have good statistical properties under hypothetical assumptions. Unfortunately, in practice the hypothetical assumptions are often broken. Following [3, 4], distortions can be classified into two main categories, namely gross errors and distortions due to the model failure.
URI: http://elib.bsu.by/handle/123456789/93487
Appears in Collections:Section 1. ROBUST AND NONPARAMETRIC DATA ANALYSIS
Статьи факультета прикладной математики и информатики

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