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- W88543777 abstract "Many samples in the real world are very small in size and often do not follow a nom1al distribution. Existing tests for correlation have restrictions on the distribution of data and sample sizes, therefore the current tests cannot be used in some real world situations. In this thesis, two tests are considered to test hypotheses about the population correlation coefficient. The tests are based on statistics transformed by a saddlepoint approximation and by Fisher's Z-transformation. The tests are conducted on small samples of bivariate nonnormal data and found to perfom1 well. Simulations were run in order to compare the type I error rates and power of the new test with other commonly used tests. The new tests controlled type I enor rates well, and have reasonable power performance." @default.
- W88543777 created "2016-06-24" @default.
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- W88543777 date "2008-01-01" @default.
- W88543777 modified "2023-09-27" @default.
- W88543777 title "Tests for Correlation on Bivariate Nonnormal Distributions" @default.
- W88543777 hasPublicationYear "2008" @default.
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