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文章基本信息

  • 标题:Partially Studied Models Based on Discreet Variables
  • 本地全文:下载
  • 作者:Prof. Constantin ANGHELACHE PhD ; Prof. Gabriela Victoria ANGHELACHE PhD ; Andreea Gabriela BALTAC PhD Student
  • 期刊名称:Revista Română de Statistică
  • 印刷版ISSN:1018-046X
  • 电子版ISSN:1844-7694
  • 出版年度:2013
  • 卷号:Q1
  • 出版社:Romanian National Institute of Statistics
  • 摘要:We study some types of models that do not fall into this category: - Models with discrete dependent variables, called qualitative response models where endogenous variables can take only two values (binomial dichotomous or binary response models) or a limited number of values (divided into several categories, multinomial, or model choice multiple); - Partially observed models (or models with limited dependent variables) where the dependent variable analyzes are reduced to a single value after a certain limit. We consider here models censored sampling designs. These latter models are characterized by a truncation process that depends on a latent variable that differs from the one that describes the observed data.
  • 关键词:models; discrete dependent variables; limited dependent;variables
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