Computation of Noncentral T Probabilities using Neural Network Theory


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 1, pp. 177-183, Jan. 1997
10.3745/KIPSTE.1997.4.1.177,   PDF Download:

Abstract

The cumulative function of the noncentral t distribution is desired to calculate power in testing equality of means of two normal populations and confidence intervals for the ratio of population mean to standard deviation. In this paper, the evaluation of the cumulative function of the noncentral t distribution is applied to the neural network theory. The neural network consists of the multi-layer perceptron structure and learning process has the algorithm of the backpropagation. Numerical comparisons are made between the Fisher''s values and the results obtained by neural network theory.


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Cite this article
[IEEE Style]
G. S. Hee, "Computation of Noncentral T Probabilities using Neural Network Theory," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 1, pp. 177-183, 1997. DOI: 10.3745/KIPSTE.1997.4.1.177.

[ACM Style]
Gu Son Hee. 1997. Computation of Noncentral T Probabilities using Neural Network Theory. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 1, (1997), 177-183. DOI: 10.3745/KIPSTE.1997.4.1.177.