| 篇名 | 作者 | 刊名 | 出版年 | 查看 |
|---|
| Poisson, Poisson-gamma and zero-inflated regression models of motor vehiclecrashes: balancing statistical fit and theory |
Lord, D.;Washington, S.P.;Ivan, J.N.; |
Accident Analysis & Prevention |
2005-01-01 |
查看 |
| Poisson, Poisson-gamma and zero-inflated regression models of motor vehiclecrashes: balancing statistical fit and theory |
Lord, D.;Washington, S.P.;Ivan, J.N.; |
Accident Analysis & Prevention |
2005-01-01 |
查看 |
| The negative binomial-Lindley distribution as a tool for analyzingcrash data characterized by a large amount of zeros |
Lord, D.;Geedipally, S.R.; |
Accident Analysis & Prevention |
2011-09-01 |
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| The negative binomial-Lindley distribution as a tool for analyzingcrash data characterized by a large amount of zeros |
Lord, D.;Geedipally, S.R.; |
Accident Analysis & Prevention |
2011-09-01 |
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| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
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| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
查看 |
| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
查看 |
| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
查看 |
| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
查看 |
| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
查看 |
| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
查看 |
| Can it be true that most drivers are safer than the average driver? |
Elvik, R.; |
Accident Analysis & Prevention |
2013-10-01 |
查看 |
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