An effective soft clustering approach to mining gene expressions from multi-source databases
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Detection of buried landmines using the possibilistic correlation-dependent fusion methods
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Use of RBF neural network in EMG signal noise removal
WSEAS Transactions on Circuits and Systems
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Tables of critical values for the exact test method based on the maximum likelihood estimator (MLE) have been obtained to test a hypothesis on the correlation coefficient between the components of a bivariate normal random vector. The exact test is then compared, in terms of size and power, with the other popular methods, namely - the 'z - test', the 'modified z - test' and the 't - test'. While these popular methods have almost identical size and power to the exact test for large samples, their small sample performance is far from satisfactory as evident from our extensive numerical computations. Thus, our tables of critical values are useful when sample size is not large (i.e., ≤ 30 ). Also, it is demonstrated through a real-life dataset how the tables of critical values can be used for interval estimation.