Nonparametric lack-of-fit tests in presence of heteroscedastic variances
Doctor of Philosophy === Department of Statistics === Haiyan Wang === It is essential to test the adequacy of a specified regression model in order to have cor- rect statistical inferences. In addition, ignoring the presence of heteroscedastic errors of regression models will lead to unreliable and...
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| Language: | en_US |
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Kansas State University
2014
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| Online Access: | http://hdl.handle.net/2097/18116 |