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Probabilistic Modeling and Regression Analysis of Experimental Data for Structural Systems


Abstract The Experimental Data Processing (EDP) software is a C++ GUI-based application to streamline the process of creating a model for structural systems based on experimental data. EDP is designed to process raw data, filter the data for noise and outliers, create a fitted model to describe that data, complete a probabilistic analysis to describe the variation between replicates of the experimental process, and analyze reliability of a structural system based on that model. In order to help design the EDP software to perform the full analysis, the probabilistic and regression modeling aspects of this analysis have been explored. The focus has been on creating and analyzing probabilistic models for the data, adding multivariate and nonparametric ... (more)
Created Date 2016-05
Contributor Markov, Elan Richard (Author) / Rajan, Subramaniam (Thesis Director) / Khaled, Bilal (Committee Member) / Chemical Engineering Program / School of Mathematical and Statistical Sciences / Ira A. Fulton School of Engineering / Barrett, The Honors College
Subject Regression / Structural Analysis / Nonparametric Smoothing / Probabilistic Modeling
Series Academic Year 2015-2016
Type Text
Extent 84 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS


  Markov_E_Spring_2016.pdf
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