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  • 标题:Non-parametrical Estimation of the Regression used in Economic Analyses
  • 本地全文:下载
  • 作者:Prof. Constantin ANGHELACHE PhD ; Prof. Gabriela Victoria ANGHELACHE PhD ; Prof. Liviu BEGU PhD
  • 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:Non-parametric methods are useful, but raises some problems. In practice, they require a large number of observations and are used for a relatively small number of explanatory variables. Moreover, the result is sensitive to the choice of the smoothing parameter and to a lesser extent in the nucleus. They pose a problem for the presentation of results that can not be contained in a compact formula but can only be described by graphs. A non-parametric analysis does not allow extrapolation outside the range of observation, but econometric is an advantage.
  • 关键词:non-parametric methods; variables; regression;function; appraisal
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