Academic Journal

Bartlett and Bartlett-type corrections for censored data from a Weibull distribution

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Bartlett and Bartlett-type corrections for censored data from a Weibull distribution
Συγγραφείς: Magalhães, Tiago M., Gallardo, Diego I.
Πηγή: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
SORT-Statistics and Operations Research Transactions; Vol. 44, Núm. 1 (2020): ; 127-140
SORT-Statistics and Operations Research Transactions; Vol 44, No 1 (2020): January-June; 127-140
oai:raco.cat:article/371185
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Στοιχεία εκδότη: Institut d'Estadística de Catalunya, 2020.
Έτος έκδοσης: 2020
Θεματικοί όροι: Estadística matemàtica, Type i and ii censoring, Bartlett correction, Classificació AMS::62 Statistics::62F Parametric inference, Maximum likelihood estimates, chi-squared distribution, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, maximum likelihood estimates, type I and II censoring, Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], 62 Statistics::62F Parametric inference [Classificació AMS], Censored data, censored data, Weibull distribution, Chi-squared distribution
Περιγραφή: In this paper, we obtain the Bartlett factor for the likelihood ratio statistic and the Bartlett-type correction factor for the score and gradient test in censored data from a Weibull distribution. The expressions derived are simple, we only have to define a few matrices. We conduct an extensive Monte Carlo study to evaluate the performance of the corrected tests in small sample sizes and we show how they improve the original versions. Finally, we apply the results to a real data set with a small sample size illustrating that conclusions about the regressors could be different if corrections were not applied to the three mentioned classical statistics for the hypothesis test.
Τύπος εγγράφου: Article
Περιγραφή αρχείου: application/pdf; application/zip
Γλώσσα: English
DOI: 10.2436/20.8080.02.97
Σύνδεσμος πρόσβασης: http://hdl.handle.net/20.500.11797/RP4900
https://ddd.uab.cat/record/225689
https://dialnet.unirioja.es/servlet/articulo?codigo=7537021
https://ddd.uab.cat/pub/sort/sort_a2020v44n1/sort_a2020v44n1p127.pdf
https://hdl.handle.net/2117/362097
https://doi.org/10.2436/20.8080.02.97
Rights: CC BY NC ND
Αριθμός Καταχώρησης: edsair.dedup.wf.002..728b9aa1ed252c20efa815ceebcf0279
Βάση Δεδομένων: OpenAIRE