In this paper,we examine the interrelation between innovation and commercial marketing using the DFH-4 series bus satellite as an example which customers are familiar with.Strategies in evolving satellite buses and ke...In this paper,we examine the interrelation between innovation and commercial marketing using the DFH-4 series bus satellite as an example which customers are familiar with.Strategies in evolving satellite buses and key subsystem technologies without compromising on advanced innovations,favorable heritage and thorough verification are also discussed.Market development experiences with the DFH-4 series bus satellite are summarized and market recognition is reflected from the space insurance perspective.展开更多
Territory risk analysis has played an important role in the decision-making of auto insurance rate regulation.Due to the optimality of insurance loss data groupings,clustering methods become the natural choice for suc...Territory risk analysis has played an important role in the decision-making of auto insurance rate regulation.Due to the optimality of insurance loss data groupings,clustering methods become the natural choice for such territory risk classification.In this work,spatially constrained clustering is first applied to insurance loss data to form rating territories.The generalized linear model(GLM)and generalized linear mixed model(GLMM)are then proposed to derive the risk relativities of obtained clusters.Each basic rating unit within the same cluster,namely Forward Sortation Area(FSA),takes the same risk relativity value as its cluster.The obtained risk relativities from GLM or GLMM are used to calculate the performance metrics,including RMSE,MAD,and Gini coefficients.The spatially constrained clustering and the risk relativity estimate help obtain a set of territory risk benchmarks used in rate filings to guide the rate regulation process.展开更多
文摘In this paper,we examine the interrelation between innovation and commercial marketing using the DFH-4 series bus satellite as an example which customers are familiar with.Strategies in evolving satellite buses and key subsystem technologies without compromising on advanced innovations,favorable heritage and thorough verification are also discussed.Market development experiences with the DFH-4 series bus satellite are summarized and market recognition is reflected from the space insurance perspective.
文摘Territory risk analysis has played an important role in the decision-making of auto insurance rate regulation.Due to the optimality of insurance loss data groupings,clustering methods become the natural choice for such territory risk classification.In this work,spatially constrained clustering is first applied to insurance loss data to form rating territories.The generalized linear model(GLM)and generalized linear mixed model(GLMM)are then proposed to derive the risk relativities of obtained clusters.Each basic rating unit within the same cluster,namely Forward Sortation Area(FSA),takes the same risk relativity value as its cluster.The obtained risk relativities from GLM or GLMM are used to calculate the performance metrics,including RMSE,MAD,and Gini coefficients.The spatially constrained clustering and the risk relativity estimate help obtain a set of territory risk benchmarks used in rate filings to guide the rate regulation process.
