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You searched for +publisher:"Utah State University" +contributor:("Joseph V. Koebbe"). Showing records 1 – 2 of 2 total matches.

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Utah State University

1. Scott, Marcus W. A Series of Papers on Detecting Examinees who Used a Flawed Answer Key.

Degree: PhD, Mathematics and Statistics, 2018, Utah State University

One way that examinees can gain an unfair advantage on a test is by having prior access to the test questions and their answers, known as preknowledge. Determining which examinees had preknowledge can be a difficult task. Sometimes, the compromised test content that examinees use to get preknowledge has mistakes in the answer key. Examinees who had preknowledge can be identified by determining whether they used this flawed answer key. This research consisted of three papers aimed at helping testing programs detect examinees who used a flawed answer key. The first paper developed three methods for detecting examinees who used a flawed answer key. These methods were applied to a real data set with a flawed answer key for which 37 of the 65 answers were incorrect. One requirement for these three methods was that the flawed answer key had to be known. The second paper studied the problem of estimating an unknown flawed answer key. Four methods of estimating the unknown flawed key were developed and applied to real and simulated data. Two of the methods had promising results. The methods of estimating an unknown flawed answer key required comparing examinees’ response patterns, which was a time-consuming process. In the third paper, OpenMP and OpenACC were used to parallelize this process, which allowed for larger data sets to be analyzed in less time. Advisors/Committee Members: Joseph V. Koebbe, ;.

Subjects/Keywords: series; papers; detecting; examinees; flawed; answer key; Mathematics

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APA (6th Edition):

Scott, M. W. (2018). A Series of Papers on Detecting Examinees who Used a Flawed Answer Key. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/6923

Chicago Manual of Style (16th Edition):

Scott, Marcus W. “A Series of Papers on Detecting Examinees who Used a Flawed Answer Key.” 2018. Doctoral Dissertation, Utah State University. Accessed January 22, 2020. https://digitalcommons.usu.edu/etd/6923.

MLA Handbook (7th Edition):

Scott, Marcus W. “A Series of Papers on Detecting Examinees who Used a Flawed Answer Key.” 2018. Web. 22 Jan 2020.

Vancouver:

Scott MW. A Series of Papers on Detecting Examinees who Used a Flawed Answer Key. [Internet] [Doctoral dissertation]. Utah State University; 2018. [cited 2020 Jan 22]. Available from: https://digitalcommons.usu.edu/etd/6923.

Council of Science Editors:

Scott MW. A Series of Papers on Detecting Examinees who Used a Flawed Answer Key. [Doctoral Dissertation]. Utah State University; 2018. Available from: https://digitalcommons.usu.edu/etd/6923


Utah State University

2. Lasisi, Abibat Adebisi. Multi-Resolution Analysis Using Wavelet Basis Conditioned on Homogenization.

Degree: PhD, Mathematics and Statistics, 2018, Utah State University

This dissertation considers an approximation strategy using a wavelet reconstruction scheme for solving elliptic problems. The foci of the work are on (1) the approximate solution of differential equations using multiresolution analysis based on wavelet transforms and (2) the homogenization process for solving one and two-dimensional problems, to understand the solutions of second order elliptic problems. We employed homogenization to compute the average formula for permeability in a porous medium. The structure of the associated multiresolution analysis allows for the reconstruction of the approximate solution of the primary variable in the elliptic equation. Using a one-dimensional wavelet reconstruction algorithm proposed in this work, we are able to numerically compute the approximations of the pressure variables. This algorithm can directly be applied to elliptic problems with discontinuous coefficients.We also implemented Java codes to solve the two dimensional elliptic problems using our methods of solutions. Furthermore, we propose homogenization wavelet reconstruction algorithm, fast transform and the inverse transform algorithms that use the results from the solutions of the local problems and the partial derivatives of the pressure variables to reconstruct the solutions. Advisors/Committee Members: Joseph V. Koebbe, ;.

Subjects/Keywords: wavelet; homogenization; fast transform; elliptic differential equations; homogenization wavelet reconstruction; Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lasisi, A. A. (2018). Multi-Resolution Analysis Using Wavelet Basis Conditioned on Homogenization. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7313

Chicago Manual of Style (16th Edition):

Lasisi, Abibat Adebisi. “Multi-Resolution Analysis Using Wavelet Basis Conditioned on Homogenization.” 2018. Doctoral Dissertation, Utah State University. Accessed January 22, 2020. https://digitalcommons.usu.edu/etd/7313.

MLA Handbook (7th Edition):

Lasisi, Abibat Adebisi. “Multi-Resolution Analysis Using Wavelet Basis Conditioned on Homogenization.” 2018. Web. 22 Jan 2020.

Vancouver:

Lasisi AA. Multi-Resolution Analysis Using Wavelet Basis Conditioned on Homogenization. [Internet] [Doctoral dissertation]. Utah State University; 2018. [cited 2020 Jan 22]. Available from: https://digitalcommons.usu.edu/etd/7313.

Council of Science Editors:

Lasisi AA. Multi-Resolution Analysis Using Wavelet Basis Conditioned on Homogenization. [Doctoral Dissertation]. Utah State University; 2018. Available from: https://digitalcommons.usu.edu/etd/7313

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