On estimation with weighted balanced-type loss function

57 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Bayesian and Robust Bayesian analysis under a general class of balanced loss functions (2012, background): “Finally, more general frequentist connections between losses Lρ,ω,δ0 and L0 regarding the dominance, admissibility and minimaxity, such as those established by Jafari Jozani et al. (2006) seem difficult to establish, however, and remain to be investigated.”
Prediction of k-records from a general class of distributions under balanced type loss functions (2009, methodology): “As first modelled by Jafari Jozani et al. (2006a) for a squared error ρ in (2), the choiceofthetarget d0 in(2)isarbitrary.Thisconstitutesaparticularlyappealingfeature withtheBayesiandevelopmentsofSect.4beingapplicableforanytargetpredictor d0, such as those presented in Sect.”