Frequentist, Bayesian, and Zero-One Inflated Beta Regression Models

dc.contributor.advisorHill, Jeanne
dc.contributor.authorGarcia, Elysia
dc.contributor.departmentStatistics.en_US
dc.contributor.otherBaylor University.en_US
dc.contributor.schoolsHonors College.en_US
dc.date.accessioned2014-05-02T21:56:52Z
dc.date.available2014-05-02T21:56:52Z
dc.date.copyright2014
dc.date.issued2014-05-02
dc.description.abstractThe main objective of this paper is to introduce readers to the beta regression. The beta regression is unique in its ability to adapt to many data trends despite skewness and other factors. The beta regression is also unique in its use of proportions and percentiles as its dependent variable. The paper will look at the beta regression from different perspectives, consisting of frequentist and Bayesian, as well as adjusting for zero-one inflation. Finally, the paper will show the utilization of the beta regression in applications such as experimental studies concerning BMI percentiles and operational data on crude oil proportions after distillation. Statistical programs such as R and OpenBUGS will be used in this paper to give readers the tools needed to fit beta regression and interpret the output.en_US
dc.identifier.urihttp://hdl.handle.net/2104/8975
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide access.en_US
dc.rights.accessrightsAccess changed 3/2/2017.
dc.subjectBeta regression.en_US
dc.subjectZero-one inflation.en_US
dc.subjectBayesian analysis.en_US
dc.subjectFrequentist analysis.en_US
dc.subjectR coding.en_US
dc.subjectOpenBUGS coding.en_US
dc.subjectStatistics.en_US
dc.titleFrequentist, Bayesian, and Zero-One Inflated Beta Regression Modelsen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
elysia_garcia_honorsthesis.pdf
Size:
1.66 MB
Format:
Adobe Portable Document Format
Description:
Thesis
No Thumbnail Available
Name:
elysia_garcia_permissionsform.pdf
Size:
565.17 KB
Format:
Adobe Portable Document Format
Description:
Permissions Form