Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety …

S Heydari, L Fu, L Thakali, L Joseph - Analytic methods in accident …, 2018 - Elsevier
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …
被引用次数：60 相关文章

Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety …

S Heydari, L Fu, L Thakali, L Joseph - Analytic Methods in Accident …, 2018 - infona.pl
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …

Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: applications to grade crossing safety …

S Heydari, L Fu, L Thakali, L Joseph - Analytic methods in accident …, 2018 - safetylit.org
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …

Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety …

S Heydari, L Fu, L Thakali, L Joseph - Analytic Methods in Accident …, 2018 - trid.trb.org
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …

Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: applications to grade crossing safety …

S Heydari, L Fu, L Thakali… - Analytic Methods in …, 2018 - eprints.soton.ac.uk
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …

Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: applications to grade crossing safety …

S Heydari, L Fu, L Thakali, L Joseph - Analytic methods in accident …, 2018 - safetylit.org
Comparing regions while adjusting for differences in characteristics of sites located in those
regions is valuable since it identifies possible inter-regional dissimilarities in crash risk …