| Conţinutul numărului revistei |
| Articolul precedent |
| Articolul urmator |
 |
 878 5 |
| Ultima descărcare din IBN: 2017-02-26 08:26 |
| Căutarea după subiecte similare conform CZU |
| 519.2+519.248 (1) |
| Probability. Mathematical statistics (80) |
 SM ISO690:2012GRAMA, Ion, TRICOT, Jean-Marie, PETIOT, Jean-Francois. Estimation of the extreme survival probabilities from censored data. In: Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica, 2014, nr. 1(74), pp. 33-62. ISSN 1024-7696. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
 Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica |
||||||
| Numărul 1(74) / 2014 / ISSN 1024-7696 /ISSNe 2587-4322 | ||||||
|
||||||
| CZU: 519.2+519.248 | ||||||
| Pag. 33-62 | ||||||
|
||||||
 Descarcă PDF |
||||||
| Rezumat | ||||||
The Kaplan-Meier nonparametric estimator has become a standard tool for estimating a survival time distribution in a right censoring schema. However, if the censoring rate is high, this estimator does not provide a reliable estimation of the extreme survival probabilities. In this paper we propose to combine the nonparametric Kaplan-Meier estimator and a parametric-based model into one construction. The idea is to fit the tail of the survival function with a parametric model while for the remaining to use the Kaplan-Meier estimator. A procedure for the automatic choice
of the location of the tail based on a goodness-of-fit test is proposed. This technique allows us to improve the estimation of the survival probabilities in the mid and long term. We perform numerical simulations which confirm the advantage of the proposed
method. |
||||||
| Cuvinte-cheie Adaptive estimation, censored data, model selection, survival probabilities, prediction, survival analysis |
||||||
|
Crossref XML Export
<?xml version='1.0' encoding='utf-8'?> <doi_batch version='4.3.7' xmlns='http://www.crossref.org/schema/4.3.7' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.crossref.org/schema/4.3.7 http://www.crossref.org/schema/deposit/crossref4.3.7.xsd'> <head> <doi_batch_id>ibn-31442</doi_batch_id> <timestamp>1713519079</timestamp> <depositor> <depositor_name>Information Society Development Instiute, Republic of Moldova</depositor_name> <email_address>idsi@asm.md</email_address> </depositor> <registrant>Institutul de Matematică şi Informatică al AŞM</registrant> </head> <body> <journal> <journal_metadata> <full_title>Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica</full_title> <issn media_type='print'>10247696</issn> </journal_metadata> <journal_issue> <publication_date media_type='print'> <year>2014</year> </publication_date> <issue>1(74)</issue> </journal_issue> <journal_article publication_type='full_text'><titles> <title>Estimation of the extreme survival probabilities from censored data</title> </titles> <contributors> <person_name sequence='first' contributor_role='author'> <given_name>Ion</given_name> <surname>Grama</surname> </person_name> <person_name sequence='additional' contributor_role='author'> <given_name>Jean-Marie</given_name> <surname>Tricot</surname> </person_name> <person_name sequence='additional' contributor_role='author'> <given_name>Jean-Francois</given_name> <surname>Petiot</surname> </person_name> </contributors> <publication_date media_type='print'> <year>2014</year> </publication_date> <pages> <first_page>33</first_page> <last_page>62</last_page> </pages> </journal_article> </journal> </body> </doi_batch>
|
|
|
