Mixture of bivariate Poisson regression models with an application to insurance [PDF]
In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. In the present paper, we revisit this
Lluís Bermúdez, Dimitris Karlis
core
One Water demand management: rethinking ratemaking [PDF]
, 2020 This report describes work done with New Braunfels Utilities by the Boston University Institute for Sustainable Energy. The work was carried out as part of a broad initiative on One Water opportunities in Texas funded by the Cynthia and George Mitchell ...
Grinshpun, Michael +2 more
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Special issue "Risk Considerations and Insurance in Developing Countries" of the Geneva Risk and Insurance Review. [PDF]
Geneva Risk Insur Rev, 2022 Browne M +3 more
europepmc +1 more source
Modelling dependence in a ratemaking procedure with multivariate Poisson regression models [PDF]
When actuaries face with the problem of pricing an insurance contract that contains different types of coverage, such as a motor insurance or homeowner's insurance policy, they usually assume that types of claim are independent.
Lluís Bermúdez, Dimitris Karlis
core
Electricity as a service and local control: Responding to a post-Covid world. [PDF]
Electr J, 2021 Houldin RW, Yang B.
europepmc +1 more source
Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression. [PDF]
Entropy (Basel), 2021 Sun S +4 more
europepmc +1 more source
Electric Ratemaking Fundamentals
A utility must have an opportunity to recover its prudently incurred costs. The ratemaking process determines the amount of revenue needed and how revenue should be collected from a utility ...
South Carolina Office of Regulatory Staff
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Environmental Research: EnergyElectric utility rates are usually presented to consumers as reflecting costs or market efficiency. But we argue that utility rates and prices are more than they seem: they are socially constructed, formed from deeply held institutional logics.
Matthew Grimley, Gabriel Chan
doaj +1 more source
A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification. [PDF]
Front Hum Neurosci, 2022 Prabhakar SK, Rajaguru H, Kim C, Won DO.
europepmc +1 more source
A bibliometric review of grid parity, energy transition and electricity cost research for sustainable development. [PDF]
Heliyon, 2023 Adeyemi-Kayode TM +3 more
europepmc +1 more source