Results 111 to 120 of about 3,306 (207)
Detariffed premium estimation for automobile insurance: modelling frequency and severity using Poisson, Lognormal, Pareto and Generalized Linear Model [PDF]
The transition from a tariff-based to a de-tariffed automobile insurance market in Malaysia has significantly reshaped premium estimation thus requiring for more accurate risk assessment among insurance companies.
Nor Azlin, Nurin Qistina +4 more
core
Stage duration distributions in matrix population models
Matrix population models are a standard tool for studying stage‐structured populations, but they are not flexible in describing stage duration distributions. This study describes a method for modeling various such distributions in matrix models.
Toshinori Okuyama
doaj +1 more source
Predicting the safety impact of a speed limit increase using condition-based multivariate Poisson lognormal regression [PDF]
Speed limit changes are considered to lead to proportional changes in the number and severity of crashes. To predict the impact of a speed limit alteration, it is necessary to define a relationship between crashes and speed on a road network.
Marianna Imprialou (1259826) +2 more
core
A gene to drug venture: Poisson options analysis
We provide a Poisson real option model of a gene-to-drug venture. First we describe a general new drug discovery programme as well as a specific secretory protein research programme.
Dean A. Paxson +3 more
core +2 more sources
In the motor vehicle insurance market, insurance companies need to know an estimate of the number of claims and the value of compensation they will face in the next policy period, and need to estimate the aggregate payment.
Gumilar, Irfan Rizki
core
Prediction of selection response for Poisson distributed traits
This paper presents a formula to predict expected response to one generation of truncation selection for a Poisson distributed trait under polygenic additive inheritance.
JL Foulley +3 more
core +1 more source
Interpolating between types and tokens by estimating power-law generators
Standard statistical models of language fail to capture one of the most striking properties of natural languages: the power-law distribution in the frequencies of word tokens.
Johnson, Mark +5 more
core
On robustness of maximum likelihood estimates for Poisson-lognormal models
Mixed Poisson regression models, a class of generalized linear mixed models, are commonly used to analyze count data that exhibit overdispersion. Because inference for these models can be computationally difficult, simplifying distributional assumptions ...
Smith, P. J., Weems, K. S.
core
Shotgun cellular systems (SCSs) are stochastic models of wireless networks where base stations (BSs) are randomly deployed across spatial settings of dimension one, two, or three, under a Poisson point process (PPP).
Ali Mohammad Khodadoust +2 more
doaj +1 more source
As the primary collision patterns on China’s freeways, in-depth exploration of the influencing factors of rear-end and sideswipe crashes has long been crucial for implementing targeted countermeasures.
Jianluo Wei +4 more
doaj +1 more source

