D.K. Sharma, Department of Mathematics, Jaypee University of Engineering and Technology, Guna, M.P., India.
Sonali Saxena, Government Shrimant Maharaja Madhav Rao Sindhiya College, Kolaras, Distt. Shivpuri -473770 (M.P.) India.
Online First : 28 February 2021
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-6-9
Online ISBN : 978-81-950008-7-6
Page :021-032
Abstract
The Shannon interval uncertainty was suggested as a convenient functional uncertainty metric for dual-sided shortened latent variables in the composite reliability. A new measure of disparity has recently been suggested between two doubly truncated distributions of life. The generalised informative discrimination measure for lifetime distribution in the given time interval is described in the present paper. Few features of the new generalised measure are also being investigated. An analysis of lung-cancer data is done using survival function, and Kaplan Meier estimator using Python libraries.
Keywords
Discrimination Measure; Interval Entropy; Survival Function; Mathplotlib; Pandas; Numpy; Kaplan Meier Estimator; Machine Learning
Cite this article
D.K. Sharma, Sonali Saxena, “Generalised Informative Discrimination Measure and Its Properties with Applications”, Innovations in Information and Communication Technology Series, pp. 021-032, 28 February, 2021.
Copyright
© 2021 D.K. Sharma, Sonali Saxena. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
