Year: 2022
Author: Lishamol Tomy, Christophe Chesneau, Meenu Jose
Journal of Nonlinear Modeling and Analysis, Vol. 4 (2022), Iss. 2 : pp. 291–309
Abstract
The need for efficient statistical models has increased with the flow of new data, which makes distribution theory a particularly interesting and attractive field. Here, we provide a thorough study of the applications of the Lindley distribution and its diverse generalizations. More precisely, we review some special applications in various areas, such as time series analysis, stress strength analysis, acceptance sampling plans and data analysis. We also conduct a comparative study between the Lindley distribution and some of its generalizations by using four real-life data sets.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.12150/jnma.2022.291
Journal of Nonlinear Modeling and Analysis, Vol. 4 (2022), Iss. 2 : pp. 291–309
Published online: 2022-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 19
Keywords: Lindley distribution Stress-strength Time series modeling Quality control Astrophysics.