Methods for function summary to calculate summary statistics from a "MultiChainLadder" object.
# S4 method for MultiChainLadder
summary(object, portfolio=NULL,...)The summary function returns an object of class "MultiChainLadderSummary" that has the following slots:
input triangles
predicted triangles
a list of prediction errors for each cell
a list of estimation errors for each cell
a list of process errors for each cell
predicted ultimate losses for each triangle and portfolio
latest observed losses for each triangle and portfolio
predicted IBNR for each triangle and portfolio
a matrix of prediction errors of ultimate losses for each triangle and portfolio
a matrix of estimation errors of ultimate losses for each triangle and portfolio
a matrix of process errors of ultimate losses for each triangle and portfolio
summary statistics for each triangle and portfolio
estimated coefficients from systemfit. They are put into the matrix format for GMCL
estimated variance-covariance matrix returned by systemfit
estimated residual covariance matrix returned by systemfit
standardized residuals
fitted.values
residual correlation
summary statistics for the cofficients including p-values
how portfolio is calculated
object of class "MultiChainLadder"
character strings specifying which triangles to be summed up as portfolio.
optional arguments to summary methods
Wayne Zhang actuary_zhang@hotmail.com
summary calculations the summary statistics for each triangle and the whole portfolio from portfolio. portfolio defaults to the sum of all input triangles. It can also be specified as "i+j" format, which means the sum of the i-th and j-th triangle as portfolio. For example, "1+3" means the sum of the first and third triangle as portfolio.
See Also MultiChainLadder
data(GenIns)
fit.bbmw=MultiChainLadder(list(GenIns),fit.method="OLS", mse.method="Independence")
summary(fit.bbmw)
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