@Article{JNMA-4-291,
author = {Tomy , LishamolChesneau , Christophe and Jose , Meenu},
title = {A Retrospective Study on Applications of the Lindley Distribution},
journal = {Journal of Nonlinear Modeling and Analysis},
year = {2022},
volume = {4},
number = {2},
pages = {291--309},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2562-2862},
doi = {https://doi.org/10.12150/jnma.2022.291},
url = {http://global-sci.org/intro/article_detail/jnma/20708.html}
}