Lookup NU author(s): Dr Chunzheng Cao,
Dr Jian Shi
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© 2017 Springer Science+Business Media New York Replicated data with measurement errors are frequently presented in economical, environmental, chemical, medical and other fields. In this paper, we discuss a replicated measurement error model under the class of scale mixtures of skew-normal distributions, which extends symmetric heavy and light tailed distributions to asymmetric cases. We also consider equation error in the model for displaying the matching degree between the true covariate and response. Explicit iterative expressions of maximum likelihood estimates are provided via the expectation–maximization type algorithm. Empirical Bayes estimates are conducted for predicting the true covariate and response. We study the effectiveness as well as the robustness of the maximum likelihood estimations through two simulation studies. The method is applied to analyze a continuing survey data of food intakes by individuals on diet habits.
Author(s): Cao C, Wang Y, Shi JQ, Lin J
Publication type: Article
Publication status: Published
Journal: Computational Economics
Print publication date: 01/08/2018
Online publication date: 30/05/2017
Acceptance date: 22/05/2017
ISSN (print): 0927-7099
ISSN (electronic): 1572-9974
Publisher: Springer New York LLC
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