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231226s2020 xx |||||o 00| ||eng c |
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|a 10.1080/02664763.2019.1695761
|2 doi
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|a eng
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| 100 |
1 |
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|a Saffari, Seyed Ehsan
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Bivariate negative binomial regression model with excess zeros and right censoring
|b an application to Indonesian data
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Revised 26.08.2024
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2019 Informa UK Limited, trading as Taylor & Francis Group.
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|a We propose a bivariate hurdle negative binomial (BHNB) regression model with right censoring to model correlated bivariate count data with excess zeros and few extreme observations. The parameters of the BHNB regression model are obtained using maximum likelihood with conjugate gradient optimization. The proposed model is applied to actual survey data where the bivariate outcome is number of days missed from primary activities and number of days spent in bed due to illness during the 4-week period preceding the inquiry date. We compared the right censored BHNB model to the right censored bivariate negative binomial (BNB) model. A simulation study is conducted to discuss some properties of the BHNB model. Our proposed model demonstrated superior performance in goodness-of-fit of estimated frequencies
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|a Journal Article
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|a Zero inflation
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| 650 |
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|a model selection
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| 650 |
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|a over-dispersion
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| 650 |
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|a parameter estimation
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| 650 |
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4 |
|a right censoring
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| 700 |
1 |
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|a Allen, John Carson
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Journal of applied statistics
|d 1991
|g 47(2020), 10 vom: 14., Seite 1901-1914
|w (DE-627)NLM098188178
|x 0266-4763
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| 773 |
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|g volume:47
|g year:2020
|g number:10
|g day:14
|g pages:1901-1914
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|u http://dx.doi.org/10.1080/02664763.2019.1695761
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