Modeling count data with excess zeroes: An empirical application to traffic accidents
10.1177/0049124103253459
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sg-nus-scholar.10635-658262023-10-29T22:20:28Z Modeling count data with excess zeroes: An empirical application to traffic accidents Chin, H.C. Quddus, M.A. CIVIL ENGINEERING Negative binomial regression Poisson regression Traffic accidents Zero-inflated models 10.1177/0049124103253459 Sociological Methods and Research 32 1 90-116 2014-06-17T08:21:05Z 2014-06-17T08:21:05Z 2003-08 Article Chin, H.C., Quddus, M.A. (2003-08). Modeling count data with excess zeroes: An empirical application to traffic accidents. Sociological Methods and Research 32 (1) : 90-116. ScholarBank@NUS Repository. https://doi.org/10.1177/0049124103253459 00491241 http://scholarbank.nus.edu.sg/handle/10635/65826 000184423500004 Scopus |
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Negative binomial regression Poisson regression Traffic accidents Zero-inflated models |
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Negative binomial regression Poisson regression Traffic accidents Zero-inflated models Chin, H.C. Quddus, M.A. Modeling count data with excess zeroes: An empirical application to traffic accidents |
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10.1177/0049124103253459 |
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CIVIL ENGINEERING |
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CIVIL ENGINEERING Chin, H.C. Quddus, M.A. |
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Chin, H.C. Quddus, M.A. |
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Chin, H.C. |
title |
Modeling count data with excess zeroes: An empirical application to traffic accidents |
title_short |
Modeling count data with excess zeroes: An empirical application to traffic accidents |
title_full |
Modeling count data with excess zeroes: An empirical application to traffic accidents |
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Modeling count data with excess zeroes: An empirical application to traffic accidents |
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Modeling count data with excess zeroes: An empirical application to traffic accidents |
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modeling count data with excess zeroes: an empirical application to traffic accidents |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/65826 |
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