Analysis Of Sequential Barycenter Random Probability Measures via Discrete Constructions

Analysis Of Sequential Barycenter Random Probability Measures via Discrete Constructions

Date: December 2002
Creator: Valdes, LeRoy I.
Description: Hill and Monticino (1998) introduced a constructive method for generating random probability measures with a prescribed mean or distribution on the mean. The method involves sequentially generating an array of barycenters that uniquely defines a probability measure. This work analyzes statistical properties of the measures generated by sequential barycenter array constructions. Specifically, this work addresses how changing the base measures of the construction affects the statististics of measures generated by the SBA construction. A relationship between statistics associated with a finite level version of the SBA construction and the full construction is developed. Monte Carlo statistical experiments are used to simulate the effect changing base measures has on the statistics associated with the finite level construction.
Contributing Partner: UNT Libraries
Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale

Robustness of Parametric and Nonparametric Tests When Distances between Points Change on an Ordinal Measurement Scale

Date: August 1994
Creator: Chen, Andrew H. (Andrew Hwa-Fen)
Description: The purpose of this research was to evaluate the effect on parametric and nonparametric tests using ordinal data when the distances between points changed on the measurement scale. The research examined the performance of Type I and Type II error rates using selected parametric and nonparametric tests.
Contributing Partner: UNT Libraries
Comparing the Powers of Several Proposed Tests for Testing the Equality of the Means of Two Populations When Some Data Are Missing

Comparing the Powers of Several Proposed Tests for Testing the Equality of the Means of Two Populations When Some Data Are Missing

Date: May 1994
Creator: Dunu, Emeka Samuel
Description: In comparing the means .of two normally distributed populations with unknown variance, two tests very often used are: the two independent sample and the paired sample t tests. There is a possible gain in the power of the significance test by using the paired sample design instead of the two independent samples design.
Contributing Partner: UNT Libraries