As a case study on the status of women in the economics profession, this article analyzes the fascinating career of Anne P. Carter. Prior to 1966 there were no women in the economics faculty at Harvard. In 1966 Carter became the first assistant professor of the Harvard Economics Department but,...

The Minimax criterion is considered as an alternative to the least-squares method in determination of principal components Estimated coefficients are formulated as linear programming problem The offered approach was experimentally checked using well known test data sets On these data sets the...

In Afghanistan, where 80% of the population is rural, irrigated agriculture is important for satisfying subsistence needs. While most of the irrigated agriculture is fed by diversion canal systems which tap surface flows, legal and physical water infrastructure in the region is generally poor. A...

This study makes use of linear programming methodology to design a minimum cost diet for the Central Ugandan region. We used a set of constraints on recommended levels of daily nutrient intake, recommended proportions of groups of foods, as well as preferences and food availability in Central...

In this paper, we use credibility theory to estimate credit transition matrices in a multivariate Markov chain model for credit rating. A transition matrix is estimated by a linear combination of the prior estimate of the transition matrix and the empirical transition matrix. These estimates can...

We present a variant of Karmarkar's algorithm for block-angular structured linear programs, such as stochastic linear programs. By computing the projection efficiently, we give a worst-case bound on the order of the running time that can be an order of magnitude better than that of Karmarkar's...

We attempt to unify a linear programming model with a rule-based system via overlapped decision variables. Since a rule base can be regarded as an acyclic AND/OR digraph, the unified model is virtually a multiobjective decision making problem that considers both numeric and symbolic objectives...

In this paper we present an algorithm for solving infinite-horizon discounted Markov games based upon the fact that the value function is a least element of a superharmonic set. The algorithm produces a pair of policies whose value function is within a specified error of the solution to the...