… or protect people from risk, but instead to transfer risk onto individuals in … The law took on
some risk segmenting practices, like … It also created high-risk corridors, re-insurance, and risk-…

… impeded efficient ex post segmentation of risk. In Section 3, we discuss how the goal of
efficient ex post risk segmentation became a problem when risk segmentation was viewed from …

… Common customer segmentation models utilise recency, … Examples of natural applications
of customer segmentation are … In this paper, we consider a segmentation-based version of the …

… term, segmented-risk samples should further increase the concentration of cases in risk
groups. … or intrusive measurement that shows a relationship to risk is used first. This produces a …

… segmentation of risks to make each risk segment more manageable. The proposed approach
is primarily intended to improve the confidentiality of risk … as well as risks; output comprises …

… the risk can be measured in terms of the dollar value of the car. The real management of risk
… concerned with the amount of the revenue that is at risk. For the 1990-91 financial year the …

… The aim of the research paper is to identify the risk level of … The research methods used
to identify the credit risk are … are as follows: credit segmentation of the loan portfolio was …

… /quarter before the 2004 risk communication. The 2004 risk communication was sent directly
to … The 2009 risk communication was disseminated in a limited circulation bulletin, and only …

… The dependence considered in LDA-SD is called segmented dependence. By modeling
the segmented dependence across different risk cells, a more precisely aggregated loss …

… to a significant reduction of the risk of congestion and delays. … Separation is a risk-reduction
principle which is very efficient … Segmentation is a generic principle for risk reduction which …