of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy NONPARAMETRIC FUNCTIONAL MAPPING OF QUANTITATIVE TRAIT LOCI By Jie Yang August 2006 Chair: George Casella Major Department: Statistics Functional mapping is a tool for detecting major genes responsible for different phenotypic curves, de...

Introduction. The Delphi technique is widely used in library and information science research. However, many researchers in the field fail to employ standard statistical tests when using this technique. This makes the technique vulnerable to criticisms of its reliability and validity. The general goal of this article is to explore how nonparametric statistical techniques could mitigate this dra...

This paper introduces a new speci…cation for the heterogeneous autoregressive (HAR) model for the realized volatility of S&P500 index returns. In this new model, the coe¢ cients of the HAR are allowed to be time-varying with unknown functional forms. We propose a local linear method for estimating this TVC-HAR model as well as a bootstrap method for constructing con…dence intervals for the time...

Data-driven most powerful tests are statistical hypothesis decision-making tools that deliver the greatest power against a fixed null among all corresponding data-based of given size. When underlying data distributions known, likelihood ratio principle can be applied to conduct tests. Reversing this notion, we consider following questions. (a) Assuming test statistic, say T, is given, how trans...

Central to the welfare analysis of income transfer programs is deadweight loss associated with possible reforms. To aid analytical tractability, its measurement typically requires specifying a simplified model behavior. We employ complementary “decomposition” approach that compares behavioral and mechanical components policy’s total impact on government budget study two unemployment insurance p...

A strong law is established for linear statistics that are weighted sums of a random sample. Using an observation of Cheng (1995a) about the Bernstein and Kolmogorov inequalities, we present an extension to the Hardy-Littlewood strong law under certain moment conditions on the weights and the distribution. As a byproduct, the Marcinkiewicz-Zygmund strong law and the law of the iterated logarith...