Data/hora: 11/06/2024 06:22:42

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING	
Autores: 	Temel,   Tugrul T.	
Data: 	2001-09-25	
Ano: 	2001	
Palavras-chave: 	Hypothesis test; The bootstrap; Nonparametric regression; Omitted variables; Research Methods/ Statistical Methods; C12; C14; C15.	
Resumo: 	This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework.  The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis.  The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	3763

http://purl.umn.edu/20600	
Editor: 	AgEcon Search	
Relação: 	American Agricultural Economics Association&gt;2001 Annual meeting, August 5-8, Chicago, IL

Selected Paper	
Formato: 	18

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