Unbiased estimation of linear functionals in the case of inverse normal distribution

Unbiased estimation of distribution densities of sufficient statistics of the inverse Gaussian distribution

“…Substituting the corresponding expressions for the densities into (9), after some algebra we get (8). This result has been obtained in [6]. The proof directly follows from (10) with no = 1 and x,~+l : z.…”