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Lundberg Approximations for Compound Distributions with Insurance Applications (Paperback, Softcover reprint of the original 1st ed. 2001)
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Lundberg Approximations for Compound Distributions with Insurance Applications (Paperback, Softcover reprint of the original 1st ed. 2001)
Series: Lecture Notes in Statistics, 156
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These notes represent our summary of much of the recent research
that has been done in recent years on approximations and bounds
that have been developed for compound distributions and related
quantities which are of interest in insurance and other areas of
application in applied probability. The basic technique employed in
the derivation of many bounds is induc tive, an approach that is
motivated by arguments used by Sparre-Andersen (1957) in connection
with a renewal risk model in insurance. This technique is both
simple and powerful, and yields quite general results. The bounds
themselves are motivated by the classical Lundberg exponential
bounds which apply to ruin probabilities, and the connection to
compound dis tributions is through the interpretation of the ruin
probability as the tail probability of a compound geometric
distribution. The initial exponential bounds were given in Willmot
and Lin (1994), followed by the nonexpo nential generalization in
Willmot (1994). Other related work on approximations for compound
distributions and applications to various problems in insurance in
particular and applied probability in general is also discussed in
subsequent chapters. The results obtained or the arguments employed
in these situations are similar to those for the compound
distributions, and thus we felt it useful to include them in the
notes. In many cases we have included exact results, since these
are useful in conjunction with the bounds and approximations
developed."
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