Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/74575
Type: Artigo
Title: Statistical analysis of controlled calibration model with replicates
Author: Blas, Betsabé
Bolfarine, Heleno
Lachos, Victor H.
Abstract: In this work, we generalize the controlled calibration model by assuming replication on both variables. Likelihood-based methodology is used to estimate the model parameters and the Fisher information matrix is used to construct confidence intervals for the unknown value of the regressor variable. Further, we study the local influence diagnostic method which is based on the conditional expectation of the complete-data log-likelihood function related to the EM algorithm. Some useful perturbation schemes are discussed. A simulation study is carried out to assess the effect of the measurement error on the estimation of the parameter of interest. This new approach is illustrated with a real data set.
In this work, we generalize the controlled calibration model by assuming replication on both variables. Likelihood-based methodology is used to estimate the model parameters and the Fisher information matrix is used to construct confidence intervals for t
Subject: Influência local (Estatística)
Modelos de regressão (Estatística)
Análise de erros (Matemática)
Country: Reino Unido
Editor: Taylor & Francis
Citation: Journal Of Statistical Computation And Simulation. Taylor & Francis Ltd, v. 83, n. 5, n. 939, n. 959, 2013.
Rights: fechado
Identifier DOI: 10.1080/00949655.2011.643410
Address: https://www.tandfonline.com/doi/full/10.1080/00949655.2011.643410
Date Issue: 2013
Appears in Collections:IMECC - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000318071900010.pdf532.38 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.