Reference health

Smoothing Regression and Impact Measures for Accidents of Traffic Flows

https://doi.org/10.2139/ssrn.4103425
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19/19 checkable references clean · checked 2026-07-26

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

8 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 19 checked references that resolve
resolves10.1108/9780585475301
Fundamentals of Transportation and Traffic Operations
resolves10.1109/ITST.2012.6425198
Space-time multivariate Negative Binomial regression for urban short-term traffic volume prediction
resolves10.1198/106186005X47651
Generalized Nonparametric Mixed-Effect Models: Computation and Smoothing Parameter Selection
resolves10.1007/978-1-4614-5369-7
Smoothing Spline ANOVA Models
resolves10.3390/ijerph16183400
Current Understanding of the Effects of Congestion on Traffic Accidents
resolves10.1080/18128602.2010.538871
A spatio-temporal analysis of the impact of congestion on traffic safety on major roads in the UK
resolves10.1016/j.aap.2009.04.002
Impact of traffic congestion on road accidents: A spatial analysis of the M25 motorway in England
resolves10.1016/S0968-090X(00)00015-2
Integration of the global positioning system and geographical information systems for traffic congestion studies
resolves10.3141/1748-12
Freeway Performance Measurement System: Mining Loop Detector Data
resolves10.1177/0361198105191700119
Traffic Measurement and Vehicle Classification with Single Magnetic Sensor
resolves10.3390/a13090222
Detecting Traffic Incidents Using Persistence Diagrams
resolves10.1016/S0895-4356(01)00476-0
Attrition in longitudinal studies
resolves10.1121/1.2205133
Comparing tongue shapes from ultrasound imaging using smoothing spline analysis of variance
resolves10.1111/j.2517-6161.1983.tb01239.x
Bayesian “Confidence Intervals” for the Cross-Validated Smoothing Spline
resolves10.1007/978-0-387-84858-7
The Elements of Statistical Learning
resolves10.1006/jmps.1999.1279
Cross-Validation Methods
resolves10.1007/s11222-009-9153-8
Estimation of prediction error by using K-fold cross-validation
resolves10.1145/1150402.1150429
Training linear SVMs in linear time
resolves10.1016/j.atmosenv.2013.05.020
Impact of traffic intensity and pavement aggregate size on road dust particles loading
The 8 references without a DOI — listed, not checked
no DOI — not checkedMining overdispersed and autocorrelated vehicular traffic volume
no DOI — not checkedUnderstanding the effect of traffic congestion on accidents using big data
no DOI — not checkedTraffic impact models
no DOI — not checkedCongestion and safety: A spatial analysis of london
no DOI — not checkedData Analysis Using Regression and Multilevel/Hierarchical Models
no DOI — not checkedref18
no DOI — not checkedSupport vector machine-a survey
no DOI — not checkedOn over-fitting in model selection and subsequent selection bias in performance evaluation
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-26 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

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