A review of Placing Charlotte Smith edited by Elizabeth A. Dolan and Jacqueline M. Labbe, written Heather Heckman-McKenna

This study identifies and analyzes factors influencing canola plantation development in Tabriz and Marand Counties. The Censored Model was used to analyze cross-sectional data collected from 372 farmers using a questionnaire. Due to the weakness of the Tobit Model in separating factors affecting the adoption decision of farmers and factors affecting the rate of adoption, the Heckman Model was e...

Here we develop an explicitly covariant expression for the stationary phase approximation of a classical partition function based on geometric properties of the phase space. As an example of the utility of such an evaluation we show that in the case of the Hamiltonian ows generating conformal rescalings of the underlying geometry, the classical partition function is given exactly by the leading...

A series expansion for Heckman-Opdam hypergeometric functions φλ is obtained for all λ ∈ a∗ C . As a consequence, estimates for φλ away from the walls of a Weyl chamber are established. We also characterize the bounded hypergeometric functions and thus prove an analogue of the celebrated theorem of Helgason and Johnson on the bounded spherical functions on a Riemannian symmetric space of the no...

We derive a geometric integration formula for the partition function of a classical dynamical system and use it to show that corrections to the WKB approximation vanish for any Hamiltonian which generates conformal motions of some Riemannian geometry on the phase space. This generalizes previous cases where the Hamiltonian was taken as an isometry generator. We show that this conformal symmetry...

The Heckman selection model is perhaps the most popular econometric in analysis of data with sample selection. analyses this are based on normality assumption for error terms, however, some applications, distribution term departs significantly from normality, instance, presence heavy tails and/or atypical observation. In paper, we explore selection-t where random errors follow a bivariate Stude...