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1. Detection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions

F. Ghapani; A. R. Rasekh; M. R. Akhoond; B. Babadi

Volume 26, Issue 4 , Autumn 2015, , Pages 355-366

Abstract
  The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. ...  Read More