Risk programming and sparse data: how to get more reliable results

Conference object, Preprint English OPEN
Hardaker, J.B.; Lien, G.; Asseldonk, van, M.A.P.M.; Richardson, W.; Hegrenes, A.; (2008)
  • Subject: Risk programming, states of nature, sparse data, Risk and Uncertainty,

Because relevant historical data for farms are inevitably sparse, most risk programming studies rely on few observations. We discuss how to use available information to derive an appropriate multivariate distribution function that can be sampled for a more complete repr... View more
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