-
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 :
