For any simple connected undirected graph, it is well known that the Kirchhoff and multiplicative degree-Kirchhoff indices can be computed using the Laplacian matrix. We show that the same is true for the additive degree-Kirchhoff index and give a compact Matlab program that computes all three Kirchhoffian indices with the Laplacian matrix as the only input.

Determining the variability of observed relationships is a critical step in quantitative research synthesis, requiring the estimation of 2 ˆ ρ σ , variance due to moderator effects. When observed variance is less than expected by sampling error, the estimated residual variance is negative, which most traditional techniques recode to zero. We review an alternative technique for estimating 2 ˆ ρ ...

We develop and implement a portfolio optimization method for building investment portfolios that dominate a given benchmark index in terms of third-degree stochastic dominance. Our approach relies on the properties of the semi-variance function, a re nement of an existing `superconvex' dominance condition and quadratic constrained programming. To reduce the computational burden in large-scale a...

This paper applies asymptotic and bootstrap inference methods for a set of non-linear inequality and progressivity indices. The non-degenerate U-statistic theory is applied to indices which are functions of several U-statistics. Generally, U-statistic variance estimators are difficult to compute. Formulae for a straightforward plug-in estimator of index variances have been derived. This is espe...