Open AccessOn Methods of Estimation for Generalized Logarithmic Series Distribution and Its Application to Counts of Red Mites on Apple Leaves
Author(s) -
Fehim Jeelani Wani
Publication year - 2021
Publication title -
indian journal of pure and applied biosciences
Language(s) - English
Resource type - Journals
ISSN - 2582-2845
DOI - 10.18782/2582-2845.8689
Subject(s) - logarithm , mathematics , series (stratigraphy) , distribution (mathematics) , logarithmic distribution , statistics , maximum likelihood , estimation , method of moments (probability theory) , mathematical analysis , negative binomial distribution , paleontology , management , economics , poisson distribution , biology , estimator
The Generalized Logarithmic Series Distribution (GLSD) adds an extra parameter to the usual logarithmic series distribution and was introduced by Jain and Gupta (1973). This distribution has found applications in various fields. The estimation of parameters of generalized logarithmic series distribution was studied by the methods of maximum likelihood, moments, minimum chi square and weighted discrepancies. The GLSD was fitted to counts of red mites on apple leaves and it was observed that all the estimation techniques perform well in estimating the parameters of generalized logarithmic series distribution but with varying degree of non-significance.