Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients
The theory of reproducing kernel has been recognized as a useful instrument in several areas of mathematical research. This has been verified by researches done by Aronszajn (1950), Berlinet et al. (2003), Burbea (1976), Hille (1972), Li et al. and Wahba (1998), (2003). Many statistical problems can...
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Centre for Environment, Social and Economic Research Publications
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/46840/1/Utilization%20of%20reproducing%20kernel%20hilbert%20space%20method%20on%20the%20survival%20data%20of%20leukemia%20patients.pdf http://psasir.upm.edu.my/id/eprint/46840/ |
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my.upm.eprints.468402018-01-31T10:14:00Z http://psasir.upm.edu.my/id/eprint/46840/ Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients Abdul Manaf, N. Ibragimov, Gafurjan Abu Bakar, Mohd Rizam The theory of reproducing kernel has been recognized as a useful instrument in several areas of mathematical research. This has been verified by researches done by Aronszajn (1950), Berlinet et al. (2003), Burbea (1976), Hille (1972), Li et al. and Wahba (1998), (2003). Many statistical problems can also be solved using models related to reproducing kernel Hilbert space (RKHS). Centre for Environment, Social and Economic Research Publications 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/46840/1/Utilization%20of%20reproducing%20kernel%20hilbert%20space%20method%20on%20the%20survival%20data%20of%20leukemia%20patients.pdf Abdul Manaf, N. and Ibragimov, Gafurjan and Abu Bakar, Mohd Rizam (2015) Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients. International Journal of Applied Mathematics and Statistics, 53 (6). pp. 167-172. ISSN 0973-1377; ESSN: 0973-7545 |
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The theory of reproducing kernel has been recognized as a useful instrument in several areas of mathematical research. This has been verified by researches done by Aronszajn (1950), Berlinet et al. (2003), Burbea (1976), Hille (1972), Li et al. and Wahba (1998), (2003). Many statistical problems can also be solved using models related to reproducing kernel Hilbert space (RKHS). |
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Article |
author |
Abdul Manaf, N. Ibragimov, Gafurjan Abu Bakar, Mohd Rizam |
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Abdul Manaf, N. Ibragimov, Gafurjan Abu Bakar, Mohd Rizam Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients |
author_facet |
Abdul Manaf, N. Ibragimov, Gafurjan Abu Bakar, Mohd Rizam |
author_sort |
Abdul Manaf, N. |
title |
Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients |
title_short |
Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients |
title_full |
Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients |
title_fullStr |
Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients |
title_full_unstemmed |
Utilization of reproducing kernel hilbert space method on the survival data of leukemia patients |
title_sort |
utilization of reproducing kernel hilbert space method on the survival data of leukemia patients |
publisher |
Centre for Environment, Social and Economic Research Publications |
publishDate |
2015 |
url |
http://psasir.upm.edu.my/id/eprint/46840/1/Utilization%20of%20reproducing%20kernel%20hilbert%20space%20method%20on%20the%20survival%20data%20of%20leukemia%20patients.pdf http://psasir.upm.edu.my/id/eprint/46840/ |
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