INDIAN JOURNAL OF PURE & APPLIED BIOSCIENCES

ISSN (E) : 2582 – 2845

  • No. 772, Basant Vihar, Kota

    Rajasthan-324009 India

  • Call Us On

    +91 9784677044

Archives

Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2021 , Volume 9, Issue 3
Page No. : 151-155
Article doi: : http://dx.doi.org/10.18782/2582-2845.8689

On Methods of Estimation for Generalized Logarithmic Series Distribution and Its Application to Counts of Red Mites on Apple Leaves

Fehim J Wani1* , T. A. Raja1, S. Maqbool2, M. Iqbal Jeelani3 and Farheen Naqash4

1Division of Agricultural Economics & Statistics, FoA, Wadura, SKUAST-Kashmir
2Division of Animal Genetics and Breeding, FVSc & AH, SKUAST-Kashmir
3Division of Statistics and Computer Science, Chatha, SKUAST-Jammu
4School of Agricultural Economics & Horti-Business Management, FoH, Shalimar, SKUAST-Kashmir
*Corresponding Author E-mail: faheemwani@skuastkashmir.ac.in
Received: 19.04.2021 | Revised: 23.05.2021 | Accepted: 1.06.2021

 ABSTRACT

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.
Keyword: GLSD, Estimation, Parameters.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782/2582-2845.8689

Cite this article:

Wani, F. J., Raja, T. A., Maqbool, S., Iqbal Jeelani, M., & Naqash, F. (2021). On Methods of Estimation for Generalized Logarithmic Series Distribution and Its Application to Counts of Red Mites on Apple Leaves, Ind. J. Pure App. Biosci. 9(3), 151-155. doi: http://dx.doi.org/10.18782/2582-2845.8689




Photo

Photo