COVID-19 DATA ANALYSIS THROUGH A FLEXIBLE POWER LOMAX-GAMMA MODEL

In this study, we developed a flexible form of Power Lomax distribution called Gamma Power Lomax distribution. This distribution was obtained by combining the Power Lomax and Gamma distributions to generate a novel life-time distribution with three parameters. Different structural characteristics of the new distribution have been determined and analysed which includes moments, moment generating function, order statistics, and incomplete moments. Distinct plots depict the behaviour of the density and the distribution function. The maximum likelihood estimation method was applied to estimate the distribution parameters. The practicability of the stated distribution is proven by Covid-19 data set. The objective of this study is to establish an optimum statistical model considering current covid-19 pandemic

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-26
DOI
https://doi.org/10.5281/zenodo.19187562
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COVID-19 DATA ANALYSIS THROUGH A FLEXIBLE POWER LOMAX-GAMMA MODEL

Abiola Kehinde Olatunji
Zenodo (CERN European Organization for Nuclear Research)
Statistical Distribution Estimation and Applications
article

COVID-19 DATA ANALYSIS THROUGH A FLEXIBLE POWER LOMAX-GAMMA MODEL

Abiola Kehinde Olatunji
article en

Abstract

In this study, we developed a flexible form of Power Lomax distribution called Gamma Power Lomax distribution. This distribution was obtained by combining the Power Lomax and Gamma distributions to generate a novel life-time distribution with three parameters. Different structural characteristics of the new distribution have been determined and analysed which includes moments, moment generating function, order statistics, and incomplete moments. Distinct plots depict the behaviour of the density and the distribution function. The maximum likelihood estimation method was applied to estimate the distribution parameters. The practicability of the stated distribution is proven by Covid-19 data set. The objective of this study is to establish an optimum statistical model considering current covid-19 pandemic

Zenodo (CERN European Organization for Nuclear Research)
University of Ibadan (NG), Forestry Research Institute of Nigeria (NG)
Openalex Percentile: Top 18%
Statistical Distribution Estimation and Applications
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

COVID-19 DATA ANALYSIS THROUGH A FLEXIBLE POWER LOMAX-GAMMA MODEL — Abiola Kehinde Olatunji · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS