Zobrazeno 1 - 10
of 41
pro vyhledávání: '"SPREEUW, JAAP"'
Autor:
Spreeuw, Jaap1 (AUTHOR) j.spreeuw@city.ac.uk, Owadally, Iqbal1 (AUTHOR) m.i.owadally@city.ac.uk, Kashif, Muhammad2 (AUTHOR) muhammad.kashif@udlap.mx
Publikováno v:
Mathematics (2227-7390). Apr2022, Vol. 10 Issue 7, p1162-1162. 18p.
Autor:
Spreeuw, Jaap1 (AUTHOR) j.spreeuw@city.ac.uk
Publikováno v:
Risks. Jul2022, Vol. 10 Issue 7, pN.PAG-N.PAG. 10p.
Autor:
Spreeuw, Jaap
Publikováno v:
In Insurance Mathematics and Economics November 2014 59:235-242
Autor:
Spreeuw, Jaap, Karlsson, Martin
Publikováno v:
The Journal of Risk and Insurance, 2009 Jun 01. 76(2), 261-278.
Externí odkaz:
https://www.jstor.org/stable/40247553
Autor:
SPREEUW, JAAP
Publikováno v:
The Geneva Risk and Insurance Review, 2005 Jun 01. 30(1), 5-14.
Externí odkaz:
https://www.jstor.org/stable/41959174
Publikováno v:
In Insurance Mathematics and Economics 2008 43(2):234-244
Autor:
Spreeuw, Jaap1 (AUTHOR) J.Spreeuw@city.ac.uk
Publikováno v:
Scandinavian Actuarial Journal. Sep2006, Vol. 2006 Issue 5, p286-309. 24p. 2 Charts, 3 Graphs.
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:
Hiabu, Munir, Miranda, Maria Dolores Martínez, Nielsen, Jens Perch, Spreeuw, Jaap, Tanggaard, Carsten, Villegas, Andrés
Publikováno v:
Hiabu, M, Miranda, M D M, Nielsen, J P, Spreeuw, J, Tanggaard, C & Villegas, A 2015, ' Global Polynomial Kernel Hazard Estimation : Ajuste polinomial global para la estimación kernel de la función de riesgo ', Revista Colombiana de Estadistica, vol. 38, no. 2, pp. 399-411 . https://doi.org/10.15446/rce.v38n2.51668
This paper introduces a new bias reducing method for kernel hazard estimation.The method is called global polynomial adjustment (GPA). It isa global correction which is applicable to any kernel hazard estimator. Theestimator works well from a theoret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8da48928c805accb7505a7b73f06677c
https://pure.au.dk/ws/files/108984126/Global_Polynomial_Kernel_Hazard_Estimation_final_version_2015.pdf
https://pure.au.dk/ws/files/108984126/Global_Polynomial_Kernel_Hazard_Estimation_final_version_2015.pdf
Publikováno v:
SORT-Statistics and Operations Research Transactions; 2013: Vol.: 37 Núm.: 2 July-December; p. 153-174
oai:raco.cat:article/271167
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
oai:raco.cat:article/271167
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
We consider mixed hazard models and introduce a new visual inspection technique capable of detecting the credibility of our model assumptions. Our technique is based on a transformed data approach, where the density of the transformed data should be