NONLINEAR MODELS FOR MULTI-FACTOR PLANT NUTRITION EXPERIMENTS

Stock Selection via Nonlinear Multi-Factor Models

This paper discusses the use of multilayer feed forward neural networks for predicting a stock's excess return based on its exposure to various technical and fundamental factors. To demonstrate the effectiveness of the approach a hedged portfolio which consists of equally capitalized long and short positions is constructed and its historical returns are benchmarked against T-bill returns and th...

Simplified Equipment for Subirrigation Experiments in Plant Nutrition.

The two well known techniques which are used in plant-nutrition studies are conveniently designated the solution-culture method and the sand-culture method. Some other slightly soluble materials, such as cinders, gravel, vermiculite, and Sponge Rok or various combinations of these may be substituted for sand. The use of slightly soluble material as a medium, to which the nutrient solution is pr...

Models for multi-plant coordination

This paper addresses coordination of production planning among multiple plants in a vertically integrated firm. Currently there is no unified body of literature that deals with this issue. We identify important issues that managers and researchers must address so that production and inventory decisions can be determined for all plants in a manner optimal for the organization as a whole.

Design of Experiments in Nonlinear Models

Transform-both-sides nonlinear models for in vitro pharmacokinetic experiments.

Transform-both-sides nonlinear models have proved useful in many experimental applications including those in pharmaceutical sciences and biochemistry. The maximum likelihood method is commonly used to fit transform-both-sides nonlinear models, where the regression and transformation parameters are estimated simultaneously. In this paper, an analysis of variance-based method is described in det...