PropertyValue
?:abstract
  • Recent studies have pointed out the potential of the odd Fréchet family (or class) of continuous distributions in fitting data of all kinds In this article, we propose an extension of this family through the so-called “Topp-Leone strategy”, aiming to improve its overall flexibility by adding a shape parameter The main objective is to offer original distributions with modifiable properties, from which adaptive and pliant statistical models can be derived For the new family, these aspects are illustrated by the means of comprehensive mathematical and numerical results In particular, we emphasize a special distribution with three parameters based on the exponential distribution The related model is shown to be skillful to the fitting of various lifetime data, more or less heterogeneous Among all the possible applications, we consider two data sets of current interest, linked to the COVID-19 pandemic They concern daily cases confirmed and recovered in Pakistan from March 24 to April 28, 2020 As a result of our analyzes, the proposed model has the best fitting results in comparison to serious challengers, including the former odd Fréchet model © 2020 Tech Science Press All rights reserved
is ?:annotates of
?:creator
?:journal
  • CMES_-_Computer_Modeling_in_Engineering_and_Sciences
?:license
  • unk
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:source
  • WHO
?:title
  • Topp-leone odd fréchet generated family of distributions with applications to COVID-19 data sets
?:type
?:who_covidence_id
  • #820311
?:year
  • 2020

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/4zvie585>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/4zvie585>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all