A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil

A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil

© 2021 Informa UK Limited, trading as Taylor & Francis Group.

Bibliographische Detailangaben
Veröffentlicht in:Journal of applied statistics. - 1991. - 49(2022), 8 vom: 20., Seite 2035-2051
1. Verfasser: Vasconcelos, J C S (VerfasserIn)
Weitere Verfasser: Ortega, E M M, Vasconcelos, J S, Cordeiro, G M, Vivan, A L, Biaggioni, M A M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Journal of applied statistics
Schlagworte:Journal Article Carbonization in building Marshall–Olkin family heteroscedastic regression lignocellulosic mass loss regression model
Beschreibung
Zusammenfassung:© 2021 Informa UK Limited, trading as Taylor & Francis Group.
A heteroscedastic regression based on the odd log-logistic Marshall-Olkin normal (OLLMON) distribution is defined by extending previous models. Some structural properties of this distribution are presented. The estimation of the parameters is addressed by maximum likelihood. For different parameter settings, sample sizes and some scenarios, various simulations investigate the performance of the heteroscedastic OLLMON regression. We use residual analysis to detect influential observations and to check the model assumptions. The new regression explains the mass loss of different wood species in civil construction in Brazil
Beschreibung:Date Revised 16.07.2022
published: Electronic-eCollection
Citation Status PubMed-not-MEDLINE
ISSN:0266-4763
DOI:10.1080/02664763.2021.1890001