• RecordNumber
    4030
  • Crop_Body
    Farzad Eskandari and ...
  • Title of Article

    Nonparametric Regression Estimation under Kernel Polynomial Model for Unstructured Data

  • Title Of Journal
    مجله پژوهشهاي آماري ايران
  • PublishInfo
    Statistical Research and Training Center پژوهشكده آمار
  • Publication Year
    2020
  • Volum
    17
  • Issue Number
    1
  • Page
    135-156
  • Keywords
    COV ID - 19 , nonparametric estimation , Kernel polynomial regression model , pridiction analysis , graphical model
  • Abstract
    The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framework. Also, the optimal properties of estimators have been considered. Finallly, we have studied a real heterogeneous and unstructured data using the KPR model.
    • Link To Document
    https://math.iranlibs.ir/dl/search/default.aspx?Term=4030&Field=0&DTC=14