| dc.contributor.author | Radavičius, Marijus | |
| dc.contributor.author | Samusenko, Pavel | |
| dc.date.accessioned | 2023-09-18T17:22:11Z | |
| dc.date.available | 2023-09-18T17:22:11Z | |
| dc.date.issued | 2012 | |
| dc.identifier.issn | 1392-5113 | |
| dc.identifier.other | (BIS)VUB02-000045503 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/122452 | |
| dc.description.abstract | For (very) sparse nominal data, common goodness-of-fit tests usually fail. Alternative goodness-of-fit tests based on extended empirical Bayes approach and grouping are proposed and their consistency is proved. The performance of the tests is illustrated and compared with classical criteria by Monte Carlo simulations. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 489-501 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | Zentralblatt MATH (zbMATH) | |
| dc.rights | Laisvai prieinamas internete | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:4653002/datastreams/MAIN/content | |
| dc.title | Goodness-of-fit tests for sparse nominal data based on grouping | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.license | Creative Commons – Attribution – 4.0 International | |
| dcterms.references | 19 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Vilniaus universitetas | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | N 001 - Matematika / Mathematics | |
| dc.subject.en | contingency table | |
| dc.subject.en | empirical Bayes | |
| dc.subject.en | consistency | |
| dc.subject.en | goodness-of-fit | |
| dc.subject.en | grouping | |
| dc.subject.en | latent distribution | |
| dc.subject.en | sparse asymptotics | |
| dc.subject.en | structural distribution | |
| dcterms.sourcetitle | Nonlinear analysis: modelling and control | |
| dc.description.issue | no. 4 | |
| dc.description.volume | vol. 17 | |
| dc.publisher.name | Vilniaus universiteto leidykla | |
| dc.publisher.city | Vilnius | |
| dc.identifier.doi | 10.15388/NA.17.4.14053 | |
| dc.identifier.elaba | 4653002 | |
