# B.10.Brosius

 Table M - Construction Data Requirement sample of experience from grp of similarly sized risks (loss dist varies by size of risk)aggregate ELR (can use sample mean) Table M - Insurance charge φ(r) area above r in Lee Diagram / total areawhen we need only 1, limit r to what we're interested in, φ(r) = avg diff btwn lim / unlim Table M - Vertical slice method look risk by risk(+) natural approach - as data is presented(+) easiest to understand(+) quick for 1 entry ratio(-) need to repeat entire process for other r's(-) need to deal w each risk individually Table M - Horizontal slice method look by layer(+) easiest to compute more than one ins charge(-) difficult to understand(-) initial prep work is needed in most cases Table M - Construct w horizontal method φ(r) = width * % risks overφ(r) = ri+1 - ri * # risks over / total # risks Table M - If μ ≠ sample mean theory: use sample meanpractice: use μ and normalize table (divide all by φ(0)) AuthorExam8 ID166030 Card SetB.10.Brosius DescriptionTable M Construction Updated2012-08-14T20:51:18Z Show Answers