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Please use this identifier to cite or link to this item: http://research.bfu.bg:8080/jspui/handle/123456789/362

Заглавие: Методи за въвеждане на липсващи стойности при неигнурируеми механизми
Други Заглавия: Missing data imputation methods under nonignorable mechanisms
Автори: Lazarov, Deyan
Ключови Думи: missing data
missing data mechanisms
Selection models
Pattern mixture models
Issue Date: 2012
Издател: Бургаски свободен университет, 8000 Бургас, бул. "Сан Стефано" №62
Серия/Отчет но.: TOM XXVII;str-104
Резюме: In presented research was made an overview of the basic methods for dealing with missing data when nonignorable mechanisms exist. In the beginning different missing data mechanisms are presented. Second part shows several simple methods for Missing data imputation when mechanism is NMAR. In the next sections the basis of the Selection models and the advantages and disadvantages of this models are presented. The final section shows the essence, advantages and disadvantages of the Pattern mixture models.
Описание: Годишник на БСУ 2012 том XXVII
URI: http://research.bfu.bg:8080/jspui/handle/123456789/362
ISSN: 1311-221-X
Appears in Collections:2012

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