ArticleResults in physics2021
A new modified Kies Fréchet distribution: Applications of mortality rate of Covid-19.
Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- One parameter stochastic distribution of ratio for cross-disciplinary applications: system reliability, healthcare, and energy consumption.Journal of applied statistics · 2026Article
- Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields.Scientific reports · 2024Article
- A statistical framework for a new Kavya-Manoharan Bilal distribution using ranked set sampling and simple random sampling.Heliyon · 2024Article
- IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model.Scientific reports · 2023Article
- Modified generalized Weibull distribution: theory and applications.Scientific reports · 2023Article
- Article
- Modeling the multifractal dynamics of COVID-19 pandemic.Chaos, solitons, and fractals · 2022Article
- Comparative study of artificial neural network versus parametric method in COVID-19 data analysis.Results in physics · 2022Article
- Future implications of COVID-19 through Mathematical modeling.Results in physics · 2022Article
- A new lifetime family of distributions: Theoretical developments and analysis of COVID 19 data.Results in physics · 2021Article
- Stochastic covid-19 model with fractional global and classical piecewise derivative.Results in physics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this paper is to identify an effective statistical distribution for examining COVID-19 mortality rates in Canada and Netherlands in order to model the distribution of COVID-19. The modified Kies Frechet (MKIF) model is an advanced three parameter lifetime distribution that was developed by incorporating the Frechet and modified Kies families. In particular with respect to current distributions, the latest one has very versatile probability functions: increasing, decreasing, and inverted U shapes are observed for the hazard rate functions, indicating that the capability of adaptability of the model. A straight forward linear representation of PDF, moment generating functions, Probability weighted moments and hazard rate functions are among the enticing features of this novel distribution. We used three different estimation methodologies to estimate the pertinent parameters of MKIF model like least squares estimators (LSEs), maximum likelihood estimators (MLEs) and weighted least squares estimators (WLSEs). The efficiency of these estimators is assessed using a thorough Monte Carlo simulation analysis. We evaluated the newest model for a variety of data sets to examine how effectively it handled data modeling. The real implementation demonstrates that the proposed model outperforms competing models and can be selected as a superior model for developing a statistical model for COVID-19 data and other similar data sets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.