Results 41 to 50 of about 6,091 (164)
Two Studies in Automobile Insurance Ratemaking [PDF]
ASTIN Bulletin, 1960 Section A of this paper uses the Canadian experience for private passenger automobiles to show (1) that merit rating is almost as effective as the class plan in separating the better risks from the poorer risks, (2) that both merit rating and class rating leave unanalyzed a considerable amount of variation among risks and (3) that certain available ...
Robert A. Bailey, LeRoy J. Simon
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GENERATION OF RATES FOR ELECTRIC POWER IN REGIONAL POWER SUPPLY SYSTEMS OF RUSSIA: PROBLEMS OF CHOICE REGARDING AN OPTIMUM MODEL OF RATE-MAKING [PDF]
Экономика региона, 2010 At present contradictions are being intensified and difficulties arise due to insufficiently profound scientific study of the major issues concerned with economic development of Russia.
O. I. Botkin, I. V. Orefkov
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Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making
Frontiers in Earth Science, 2019 Tsunamis triggered by large offshore earthquakes are devastating, and buildings located near the coast experience damage and loss due to such extreme events.
Jie Song, Katsuichiro Goda
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Microgrids: Legal and Regulatory Hurdles for a More Resilient Energy Infrastructure [PDF]
, 2019 Natural disasters and climate change have made it apparent that energy infrastructure needs to be modernized and microgrids are one type of technology that can help the electricity grid become more resilient, reliable, and efficient.
Parks, Raquel
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Risk Loadings in Classification Ratemaking
, 2020 The risk premium of a policy is the sum of the pure premium and the risk loading. In the classification ratemaking process, generalized linear models are usually used to calculate pure premiums, and various premium principles are applied to derive the risk loadings. No matter which premium principle is used, some risk loading parameters should be given
Yang, Liang +2 more
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An observation‐driven state‐space model for claims size modelling
Canadian Journal of Statistics, Volume 54, Issue 1, March 2026.Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn +2 more
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Dependence Modelling for Heavy-Tailed Multi-Peril Insurance Losses
RisksThe Danish fire loss dataset records commercial fire losses under three insurance coverages: building, contents, and profits. Existing research has primarily focused on the heavy-tail behaviour of the losses but ignored the relationship among different ...
Tianxing Yan, Yi Lu, Himchan Jeong
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Diagnostic analytics of electricity tariff design in Nepal
Energy Conversion and Economics, Volume 7, Issue 1, Page 50-68, February 2026.Abstract Nepal's electricity sector operates under a monopsony, with government entities dominating generation, transmission, and distribution. This market structure suppresses competition, leading to inherent challenges in establishing fair and efficient electricity tariff systems.
Prashant Kandel +2 more
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A Logistic Regression Based Auto Insurance Rate-Making Model Designed for the Insurance Rate Reform
International Journal of Financial Studies, 2018 Using a generalized linear model to determine the claim frequency of auto insurance is a key ingredient in non-life insurance research. Among auto insurance rate-making models, there are very few considering auto types.
Zhengmin Duan +4 more
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On automobile insurance ratemaking [PDF]
ASTIN Bulletin, 1968 Suppose that an automobile insurance plan is characterized by a double classification. The risks are thus divided into classes, i = 1, 2, …, p (e.g. defined by use of car and age of operator), and groups j = 1, 2, …, q (e.g. defined by licence and by accidents during the last three years).
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