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.
Results
Showing 1 to 3 of 3 for “"Error Assumptions"”.
-
Quantile Regression Approach For Analyzing Gene Expression Data
… mean regression model depends on the normality assumptions of the error terms of the model, which may be impractical to analyze gene data. In this research, we use linear quantile mixed model to analyze gene expression data. One of the notable advantages for quantile re- gression is that models …
-
A New Nonparametric Procedure for the k-sample Problem
The k-sample data setting is one of the most common data settings used today. The null hypothesis that is most generally of interest for these methods is that the k-samples have the same location. Currently there are several procedures available for the individual who has data of this type. The …
-
Fractional Polynomial Response Surfaces and Tests for "Bumpature"
… adequate fit, there are often problems with error assumptions and, with quadratic models, perhaps a spurious minimum or maximum in the fitted surface. With limited data, nonparametric regression is not a realistic option; non-linear models may provide a better fit than polynomials, but in the …