Modified Unit-Half-Normal Distribution with Applications
| datacite.alternateIdentifier.citation | MATHEMATICS,Vol.12,2024 | |
| datacite.alternateIdentifier.doi | 10.3390/math12010136 | |
| datacite.creator | Alvarez, Paulina I. | |
| datacite.creator | Varela, Hector | |
| datacite.creator | Cortes, Isaac E. | |
| datacite.creator | Venegas, Osvaldo | |
| datacite.creator | Gomez, Hector W. | |
| datacite.date | 2024 | |
| datacite.subject.english | half-normal distribution | |
| datacite.subject.english | proportions data | |
| datacite.subject.english | maximum likelihood estimation | |
| datacite.title | Modified Unit-Half-Normal Distribution with Applications | |
| dc.date.accessioned | 2024-05-27T18:27:49Z | |
| dc.date.available | 2024-05-27T18:27:49Z | |
| dc.description.abstract | In this article, we introduce a new continuous distribution based on the unit interval. This distribution is generated from a transformation of a random variable with half-normal distribution. We study its basic properties, percentiles, moments and order statistics. Maximum likelihood estimation is applied, and we present a simulation study to observe the behavior of the maximum likelihood estimators. We examine two applications to real proportions datasets, where the new distribution is shown to provide a better fit than other distributions defined in the unit interval. | |
| dc.identifier.uri | https://repositoriodigital.uct.cl/handle/10925/5829 | |
| dc.language.iso | en | |
| dc.publisher | MDPI | |
| dc.source | MATHEMATICS | |
| oaire.resourceType | WOS | |
| oaire.resourceType.en | Article | |
| uct.indizacion | SCI |
