Heavy tailed calibration model with Berkson measurement errors for replicated data

Autor(es)

Blas, Betsabe ; Bolfarine, Heleno ; Lachos, Victor H.

• Tipo de documento: Artigo Científico
• Fonte: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS; v. 156, p. 21-35, AUG 15 2016.
• Citações Web of Science: 2

Resumo

This work considers the so called controlled calibration model in which the independent variable is a controlled variable (Berkson type) and assumes that the measurement errors follow a scale mixtures of normal (SMN) distribution. The SMN family of distributions is an attractive class of symmetric distributions including the normal, Student-t, slash and contaminated normal distributions as special cases, providing a robust alternative to estimation in controlled calibration models in the absence of normality. An EM-type algorithm is developed, which is used to develop the local influence approach to assess the robustness aspects of the parameter estimates under four perturbation schemes. Results obtained from a real dataset in the area of chemistry are reported. (C) 2016 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 14/02938-9 - Estimação e diagnóstico em modelos de efeitos mistos para dados censurados usando misturas de escala skew-normal
• Beneficiário: Víctor Hugo Lachos Dávila
• Modalidade de apoio: Auxílio à Pesquisa - Regular