An enhanced Monte Carlo outlier detection method.

Zhang, Liangxiao; Li, Peiwu; Mao, Jin; Ma, Fei; Ding, Xiaoxia; Zhang, Qi

Zhang, Liangxiao; Li, Peiwu; Mao, Jin; Ma, Fei; Ding, Xiaoxia; Zhang, Qi.

Zhang L; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Li P; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China.
Mao J; Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan, 430062, China.
Ma F; Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan, 430062, China.
Ding X; Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Zhang Q; Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan, 430062, China.

J Comput Chem ; 36(25): 1902-6, 2015 Sep 30.

Article en En | MEDLINE | ID: mdl-26226927

Asunto(s)

Minería de Datos/métodos; Método de Montecarlo; Conjuntos de Datos como Asunto; Modelos Estadísticos

Palabras clave

enhanced Monte Carlo outlier detection; outlier detection; validation

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Método de Montecarlo / Minería de Datos Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2015 Tipo del documento: Article

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