Seth D. Guikema focuses on Electric power, Electric power system, Regression analysis, Statistics and Statistical model. His Electric power system research focuses on Electric power distribution and how it relates to Electric Power Supplies. He has researched Regression analysis in several fields, including Canalisation, Data set and Civil engineering.
His Statistical model study combines topics from a wide range of disciplines, such as Chesapeake bay, Pelagic zone and Remote sensing. His research in Telecommunications focuses on subjects like Meteorology, which are connected to Risk management. His Critical infrastructure study incorporates themes from Risk analysis, Timeline, Reliability engineering and Secrecy.
The scientist’s investigation covers issues in Risk analysis, Reliability engineering, Electric power system, Risk analysis and Operations research. His Risk analysis research includes themes of Resilience, Risk management, Risk analysis, Critical infrastructure and Resource. Estimation is closely connected to Reliability in his research, which is encompassed under the umbrella topic of Reliability engineering.
His study brings together the fields of Electric power and Electric power system. In his study, Terrorism is inextricably linked to Risk assessment, which falls within the broad field of Risk analysis. His work in Operations research is not limited to one particular discipline; it also encompasses Regression analysis.
Seth D. Guikema mostly deals with Risk analysis, Resilience, Asset management, Electric power system and Environmental health. Seth D. Guikema works on Risk analysis which deals in particular with Risk analysis. In his research on the topic of Resilience, Environmental planning, Hazard and Spatial planning is strongly related with Conceptualization.
His Electric power system research overlaps with other disciplines such as Data modeling, Distribution system, Probability distribution, Probabilistic logic and Critical infrastructure. His work in Environmental health addresses subjects such as Information system, which are connected to disciplines such as Water quality. His Reliability engineering research is multidisciplinary, relying on both Power law and Robustness.
His main research concerns Risk analysis, Resilience, MEDLINE, Environmental health and Tropical cyclone. His Risk analysis research is under the purview of Risk analysis. His Resilience study is concerned with the larger field of Reliability engineering.
As part of his studies on Tropical cyclone, Seth D. Guikema often connects relevant subjects like Exposure assessment.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Probabilistic Modeling of Terrorist Threats: A Systems Analysis Approach to Setting Priorities Among Countermeasures
Elisabeth Pat-Cornell;Seth Guikema.
Military Operations Research (2002)
Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes
Dominique Lord;Seth D. Guikema;Srinivas Reddy Geedipally.
Accident Analysis & Prevention (2008)
Optimizing scheduling of post‐earthquake electric power restoration tasks
Ningxiong Xu;Seth D. Guikema;Rachel A. Davidson;Linda K. Nozick.
Earthquake Engineering & Structural Dynamics (2007)
Comparison and validation of statistical methods for predicting power outage durations in the event of hurricanes.
Roshanak Nateghi;Seth D. Guikema;Steven M. Quiring.
Risk Analysis (2011)
Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region
Seung Ryong Han;Seth D. Guikema;Steven M. Quiring;Kyung Ho Lee.
Reliability Engineering & System Safety (2009)
A flexible count data regression model for risk analysis.
Seth D. Guikema;Jeremy P. Goffelt.
Risk Analysis (2008)
Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
Julie E. Shortridge;Seth D. Guikema;Benjamin F. Zaitchik.
Hydrology and Earth System Sciences (2016)
Predicting Hurricane Power Outages to Support Storm Response Planning
Seth David Guikema;Roshanak Nateghi;Steven M. Quiring;Andrea Staid.
IEEE Access (2014)
Extension of the application of conway-maxwell-poisson models: analyzing traffic crash data exhibiting underdispersion.
Dominique Lord;Srinivas Reddy Geedipally;Seth D. Guikema.
Risk Analysis (2010)
Statistical models for the analysis of water distribution system pipe break data
Shridhar Yamijala;Seth D. Guikema;Kelly Brumbelow.
Reliability Engineering & System Safety (2009)
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