This paper identifies optimal combinations of nitrogen in the form of urea, fresh litter and composted litter for rice production. Traditional cost minimization techniques using data from experimental results conducted at three sites in Arkansas during 1991 have been employed. Comparisons...

Data Analysis Using Stata provides a comprehensive introduction to Stata that will be useful to those who are just learning statistics and Stata as well as users of other statistical packages making the switch to Stata. Throughout the book, the authors make extensive use of examples using data...

Stata par la pratique par Eric Cahuzac et Christophe Bontemps propose une introduction complète à l'usage de Stata en Français. S'appuyant sur des exemples clairs écrits dans un langage simple, cet ouvrage guide l'utilisateur au travers des différentes fonctionnalités de Stata 10....

With the release of Stata 7, the glm command for fitting generalized linear models underwent a substantial overhaul. Stata 7 glm contains an expanded array of variance estimators, regression diagnostics, and other enhancements. The overhaul took place to coincide with the release of Hardin and...

A dual problem for convex generalized fractional programs with no duality gap is presented and it is shown how this dual program can be efficiently solved using a parametric approach. The resulting algorithm can be seen as "dual" to the Dinkelbach-type algorithm for generalized fractional...

In this paper, we present a heuristic procedure based on tabu search (TS) and intelligent memory structures for solving this problem. The TS method starts with a feasible schedule generated by a greedy forward dispatching procedure, then through a series of intensification and diversification...

Audit scheduling with overlapping activities and sequence dependent setup cost has not been treated in literature. This paper presents a formulation and a solution approach for this audit scheduling problem. In this paper, we treat the activity duration as a decision variable and include...

In this paper we propose two algorithms for solving both unweighted and weighted constrained two-dimensional two-staged cutting stock problems. The problem is called two-staged cutting problem because each produced (sub) optimal cutting pattern is realized by using two cut-phases.