Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm
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hdl:2099/8949
Tipus de documentArticle
Data publicació2009
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Scale mixtures of normal (SMN) distributions are used for modeling symmetric data. Members
of this family have appealing properties such as robust estimates, easy number generation, and efficient computation of the ML estimates via the EM-algorithm. The Birnbaum-Saunders (BS) distribution is a positively skewed model that is related to the normal distribution and has received
considerable attention. We introduce a type of BS distributions based on SMN models, produce a lifetime analysis, develop the EM-algorithm for ML estimation of parameters, and illustrate the obtained results with real data showing the robustness of the estimation procedure.
CitacióBalakrishnan, N. [et al.]. Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm. "SORT", 2009, vol. 33, núm. 2, p. 171-192.
ISSN1696-2281
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estimation.pdf | 1,087Mb | Visualitza/Obre |