Estimation of Probability Density Function of a Random Variable for Small Samples

Authors

  • V.S. Srinivasan DRDO Township, Bangalore

DOI:

https://doi.org/10.14429/dsj.54.2017

Keywords:

Survivor function, hazard function, hotelling-T distribution, moments, parent-variable, probability density function, random variables

Abstract

A theoretical method of estimating the most general form of probability density functions of random variables has been described. The estimated probability density function depends on the
mean value of exponential dimrbut~ono f the lnlt~arla ndom variable. By the most general form of the probability density function, it is meant that the survivor functions are of exp (-A P) or exp (-y P ) or combinations of these functions for different values of h and y.

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Published

2004-01-01

How to Cite

Srinivasan, V. (2004). Estimation of Probability Density Function of a Random Variable for Small Samples. Defence Science Journal, 54(1), 17–19. https://doi.org/10.14429/dsj.54.2017

Issue

Vol. 54 No. 1

Section

Applied Physics & Fluid Dynamics

License

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