arbiter
JournalsPricingAccount

New goodness of FIT test for Lindley distribution under cumulative entropy

Marwa K. H. Hassan

Journal of Statistics and Management Systems2026https://doi.org/10.47974/jsms-1480article
ABDC C
Weight
0.50

What the paper says

The Lindley distribution is a significant statistical distribution due to its superior statistical and mathematical properties compared to the exponential distribution. Consequently, it is utilized in various fields. This paper aims to examine different goodnessof-FIT tests for the Lindley distribution using cumulative entropy. The classical estimation method is employed to estimate the distribution parameters. A Monte Carlo simulation study is conducted to analyze the power of the tests across different distributions and sample sizes. To facilitate this comparison, we utilized several established goodness-of-FIT tests based on empirical distribution. Finally, a numerical example is present to demonstrate the validity of our test.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.47974/jsms-1480

Or copy a formatted citation

@article{marwa2026,
  title        = {{New goodness of FIT test for Lindley distribution under cumulative entropy}},
  author       = {Marwa K. H. Hassan},
  journal      = {Journal of Statistics and Management Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.47974/jsms-1480},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

New goodness of FIT test for Lindley distribution under cumulative entropy

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.