Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results (2021)
Chapter: Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values
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Previous Chapter:
Chapter 2 - Quantifying the Reliability of CPM Estimates for Mismatches Between Crash Modification Factors and SPF Base Conditions
Next Chapter: Chapter 4 - Quantifying the Reliability of CPM Estimates for How the Number of Variables in Crash Prediction Models Affects Reliability
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
Suggested Citation:
"Chapter 3 - Quantifying the Reliability of CPM Estimates for Error in Estimated Input Values." National Academies of Sciences, Engineering, and Medicine. 2021. Reliability of Crash Prediction Models: A Guide for Quantifying and Improving the Reliability of Model Results. Washington, DC: The National Academies Press.
doi: 10.17226/26517.
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