Uses of the Hypergeometric Distribution for Determining Survival or Complete Representation of Subpopulations in Sequential Sampling

<p>This thesis will explore the hypergeometric probability distribution by looking at many different aspects of the distribution. These include, and are not limited to: history and origin, derivation and elementary applications, properties, relationships to other probability models, kindred hypergeometric distributions and elements of statistical inference associated with the hypergeometric distribution. Once the above are established, an investigation into and furthering of work done by Walton (1986) and Charlambides (2005) will be done. Here, we apply the hypergeometric distribution to sequential sampling in order to determine a surviving subcategory as well as study the problem of and complete representation of the subcategories within the population.</p>

Name thesis:degree_name

Master of Science - Statistics

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Mathematics and Statistics

Year dc:date.available

2017

Author dc:creator

• Busbee, Brooke

Contributors dc:contributor

• Dr. Gregory K. Miller
• Dr. Keith E. Hubbard
• Dr. Kent E. Riggs

• hypergeometric distribution
• sequential sampling
• subdivided populations
• Applied Statistics

Repository record dc:identifier

https://scholarworks.sfasu.edu/etds/118

OAI identifier oai:identifier

oai:scholarworks.sfasu.edu:etds-1125