Car Crash Conundrum

Mohammad Sadra Sharifi; David Tate; Spenser Tingey

Car Crash Conundrum

Mohammad Sadra Sharifi, David Tate, Spenser Tingey

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Default journal
State	Published - Jan 1 2016

Disciplines

Business
Automotive Engineering

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Car Crash ConundrumFinal published version, 885 KBLicense: Unspecified

Cite this

@article{9e729d0b64bf4e1b8316dc1423716835,

title = "Car Crash Conundrum",

author = "Sharifi, \{Mohammad Sadra\} and David Tate and Spenser Tingey",

note = "The following report is a compilation of injury traffic crashes analysis using logistic regression. The purpose of this study is to use real world data collected in Orange County, California to learn how crash characteristic relate to probability of injury crashes.",

year = "2016",

month = jan,

day = "1",

language = "American English",

journal = "Default journal",

}

TY - JOUR

T1 - Car Crash Conundrum

AU - Sharifi, Mohammad Sadra

AU - Tate, David

AU - Tingey, Spenser

N1 - The following report is a compilation of injury traffic crashes analysis using logistic regression. The purpose of this study is to use real world data collected in Orange County, California to learn how crash characteristic relate to probability of injury crashes.

PY - 2016/1/1

Y1 - 2016/1/1

UR - https://digitalcommons.usu.edu/mathsci_stures/1

UR - https://digitalcommons.usu.edu/mathsci_stures/1/

M3 - Article

JO - Default journal

JF - Default journal

ER -

Car Crash Conundrum

Disciplines

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