Regression Modeling: Methods, Theory, and Computation withSAS

Regression Modeling for Spherical Data via Non-parametric and Least Square Methods

Introduction Statistical analysis of the data on the Earth's surface was a favorite subject among many researchers. Such data can be related to animal's migration from a region to another position. Then, statistical modeling of their paths helps biological researchers to predict their movements and estimate the areas that are most likely to constitute the presence of the animals. From a geome...

Surgical Process Modeling - Theory, Methods, and Applications -

A survey of GNE computation methods: theory and algorithms

This paper deals with optimization methods solving the generalized Nash equilibrium problem (GNEP), which extends the standard Nash problem by allowing constraints. Two cases are considered: general GNEPs where constraint functions are individualized and jointly convex GNEPs where there is a common constraint function. Most recent methods are benchmarked against new methods. Numerical illustrat...

Modern Applications of Complex Variables: Modeling, Theory and Computation

All professional mathematicians have taken an undergraduate class in complex analysis, covering analytic functions, singularities, residue calculus, conformal mapping, and so on. Indeed, one could argue that an early appreciation of the beauty of complex analysis, and of its power to solve a range of physically-arising problems, is a good indicator of a budding mathematician. Nonetheless, follo...

Feng-Shui Theory and Practice Investigated by Spatial Regression Modeling

Feng-Shui (meaning wind and water) has a strong indication for the placement of a physical object in space since it determines propitious locations by investigating the vital energy of the earth (Qi) throughout the lay of the land. Feng-Shui is the product of ancient Chinese cosmological beliefs and their responses to the land which were directly linked to survival and healthy living since it w...