Conditions for Unbiased Estimation Using Inverse Divergence

The conditions under which the unbiased estimating equation holds without a bias correction term for loss functions composed of a monotonically increasing function f and inverse divergence are characterized for two types of statistical models: the inverse Gaussian type (IGT) distribution and the generalized inverse Gaussian type (GIGT) mixture distribution.