High-quality short-term forecasts of wind speed are vital to making wind power amore reliable energy source. Gneiting et al. (2006) have introduced a model for the averagewind speed two hours ahead based on both spatial and temporal information. Theforecasts produced by this model are accurate,...

This dissertation is composed of four articles describing inference and visualization of periodic sequences.In the first article, a nonparametric method is proposed for estimating the period and values of a periodic sequence when the data are evenly spaced in time. Theperiod is estimated by a...

Government programs that restrict production and increase prices to particular groups of producers have a long history in the United States. The purpose of this research is to analyze the implications of such a program for peanuts in three independent essays. The first essay focuses on the...

We introduce a new method to robustifying inference that can be applied in any situation where a parametric likelihood is available. The key feature is that data from the postulated parametric models are assumed to be measured with error where the measurement error distribution is chosen to...