Electronic Journal of Applied Statistical Analysis EJASA, Electron. J. App. Stat. Anal. Vol. 3, Issue 2 (2010), 85 – 91 ISSN 2070-5948, DOI 10.1285/i20705948v3n2p85 © 2008 Università del Salento – SIBA http://siba-ese.unile.it/index.php/ejasa/index 85 ON ESTIMATION OF GEETA DISTRIBUTION AND ITS APPLICATION TO THE STUDY OF MICROBES Khurshid Ahmad Mir * Department of Statistics, Govt Degree College Bemina Srinagar,Kashmir, India Received 02 November 2009; Accepted 10 April 2010 Available online 14 October 2010 Abstract: In this paper, different estimation methods for the parameters of the Geeta distribution (GET) are discussed. The model is applied to study microorganisms based on difference-differential equations leading to Geeta distribution. R- Software has been used for making a comparison among the three different estimation methods. Keywords: Geeta distribution, Bayes’ estimator, R-Software. 1. Introduction Consul (1990a) defined the Geeta distribution over the set of all positive integers with the probability mass function as: 1 1 1 [ ] (1 ) 1 x x x x PX x x x                   ; x=1,2… (1) where 1 1      and 0 1    . The Geeta distribution has a maximum at x=1 and is L-shaped for all values of  and  . It may have a short tail or a long tail depending upon the values of  and  . Its mean and variance are given by: 1 (1 )(1 )        (2) * Email: khrshdmir@yahoo.com