Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Nonparametric Testing"”.
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Nonparametric testing in modern statistics: A personal journey
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Nonparametric testing for random effects in mixed effects models based on the piecewise linear interpolate of the log characteristic function
… sigma square. This thesis presents a new nonparametric testing approach for normality for the random effects distribution based on the piecewise linear interpolate of the log characteristic function along the grid when the number of replications is low. The ideas behind this approach were …
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The dynamic relationship between commercial real estate and stock markets
… Linear and nonlinear, parametric and nonparametric testing methodologies were adopted to test for the linear and nonlinear relationship between the two significant asset markets. An initial examination of the distributional traits for various series throughout the dissertation …
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Characterization of Free Oxylipins in Extracellular Vesicles from Bovine Milk
… analysis by LC/MS. Descriptive statistics and nonparametric testing compared oxylipin levels across treatments. Results. Twelve oxylipins were detected in bovine milk and EVs. 9-HODE (!2 =0.92) and 15- HEPE (!2=0.91) were highly correlated between EVs and whole milk. 13-HODE decreased by 69% in …
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Exploring Music-based Cognitive Rehabilitation Following Acquired Brain Injury: A Randomized Control Trail Comparing Attention Process Training and Musical Attention Control Training
… Attention Control Training (MACT). Pre-and post- testing used standard neuropsychological tests included Trail Making A B, Digit Symbol, and the Brown-Peterson Task. No significant difference was found within or between the groups for Trail A Test, Digit Symbol, or Brown-Peterson Task. The MACT …
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Likelihood-Free Hypothesis Testing and Applications of the Energy Distance
This thesis studies questions in nonparametric testing and estimation that are inspired by machine learning. One of the main problems of our interest is likelihood-free hypothesis testing: given three samples X, Y and Z with sample sizes n, n and m respectively, one must decide whether the …