Graduation Semester and Year
2020
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Industrial Engineering
Department
Industrial and Manufacturing Systems Engineering
First Advisor
Bill Corley
Abstract
This dissertation represents an attempt to relate some fundamental statistical problems using the notions of information, entropy, and evidence.
Keywords
Shannon information, Lost information, Sampling, Data compression, Entropy, Sufficient statistics, Discrete distribution, Evidence, Data analysis, Hypothesis testing, Evidence, Likelihood ratio, Confidence distribution, Odds ratio, P-value, Frequentist approach, Bayesian approach, Maximum likelihood estimator
Disciplines
Engineering | Operations Research, Systems Engineering and Industrial Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Moghimi, Maryam, "Some New Results on Statistical Information and Evidence" (2020). Industrial, Manufacturing, and Systems Engineering Dissertations. 159.
https://mavmatrix.uta.edu/industrialmanusys_dissertations/159
Comments
Degree granted by The University of Texas at Arlington