| Full text | |
| Author(s): |
Blas, Betsabe
;
Bolfarine, Heleno
;
Lachos, Victor H.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS; v. 156, p. 21-35, AUG 15 2016. |
| Web of Science Citations: | 2 |
| Abstract | |
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) | |
| FAPESP's process: | 14/02938-9 - Estimation and diagnostics for censored mixed effects models using scale mixtures of skew-normal distributions |
| Grantee: | Víctor Hugo Lachos Dávila |
| Support Opportunities: | Regular Research Grants |