Zobrazeno 1 - 3
of 3
pro vyhledávání: '"estimación local lineal"'
Autor:
Andrés M. Villegas, Jens Perch Nielsen, Munir Hiabu, Carsten Tanggaard, Jaap Spreeuw, María Dolores Martínez-Miranda
Publikováno v:
Revista Colombiana de Estadística, Vol 38, Iss 2, Pp 399-411
Revista Colombiana de Estadística
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Revista Colombiana de Estadística
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theo
Autor:
HIABU, MUNIR, MARTÍNEZ-MIRANDA, MARÍA DOLORES, NIELSEN, JENS PERCH, SPREEUW, JAAP, TANGGAARD, CARSTEN, VILLEGAS, ANDRÉS M.
Publikováno v:
Revista Colombiana de Estadística, Volume: 38, Issue: 2, Pages: 399-411, Published: JUL 2015
This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______618::1c1dd53f572d2fccbf90c3cb46b706f8
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512015000200006&lng=en&tlng=en
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512015000200006&lng=en&tlng=en
Autor:
MUNIR HIABU, MARÍA DOLORES MARTÍNEZ-MIRANDA, JENS PERCH NIELSEN, JAAP SPREEUW, CARSTEN TANGGAARD, ANDRÉS M. VILLEGAS
Publikováno v:
Revista Colombiana de Estadística, Vol 38, Iss 2, Pp 399-411
This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theo
Externí odkaz:
https://doaj.org/article/ddb400a6673f41669d3c00a281418630