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Survival analysis of gestational diabetes patients using a weighted Hamza distribution

Abstract

In this study Survival Analysis of Gestational Diabetes Patients using a Weighted Hamza distribution has been proposed a new three-parameter distribution. The properties of a suggested distribution is studied, including probability density function, survival function, hazard function, moments, moment generating function and entropies. Graphs have been used to represent the behavior of a probability density function and hazard function. The known approach of maximum likelihood estimation is used to estimate its parameters. The performance of the proposed distribution has been proved using survival data from patients with gestational diabetes, and it is concluded that the generated distribution offers a better fit.

Statistical Distribution Estimation and ApplicationsBayesian Methods and Mixture ModelsMoment-generating functionProbability density functionStatisticsSurvival functionMathematicsHazard ratioGestational diabetesHazardMoment (physics)Distribution (mathematics)

Funding

  • Innovative Research Group Project of the National Natural Science Foundation of China
Citations
0
FWCI
0.00
field-weighted impact
References
10
Percentile
14%
vs. same field & year
References
Fiducial Distributions and Bayes' Theorem
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1958 · 1,191 citations
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Survival analysis of gestational diabetes patients using a weighted Hamza distribution · Scinovex