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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 8, Issue 1, August 2013 pp 19-21

Research Article

Approximations to the t- distribution


Ramu Yerukala*, Naveen Kumar Boiroju#, M. Krishna Reddy#

*Anurag Group of Institutions, Hyderabad, Andhra Pradesh, INDIA.

#Department of Statistics, Osmania University, Hyderabad, Andhra Pradesh, INDIA.

Academic Editor:  Dr. Dase R. K.


This paper deals with the approximation of cumulative distribution function (CDF) of t-distribution developed using neural networks and the same is compared with the existing functions in the literature. Microsoft Excel function TDIST( ) taken as the benchmark function to compare with the proposed and the existing methods. The best approximation for t-distribution is selected on the basis of minimum error between the selected approximation function and TDIST( ) function. The accuracy of the proposed functions guaranteed that up to three decimal points.

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