Publications by authors named "Javeria Zafar"
Article Synopsis
- The paper introduces a new statistical method for analyzing daily coronavirus case and fatality statistics, resulting in the creation of the Discrete Marshall-Olkin Length Biased Exponential (DMOLBE) distribution.
- This distribution is adaptable due to its varied probability mass and failure rate functions, and parameters like mean, variance, and hazard functions were calculated to assess its performance.
- Through simulation studies, it was found that the DMOLBE distribution provides a better fit for COVID-19 mortality data from China and Pakistan compared to other discrete models, demonstrating its effectiveness in this context.
Count data modeling's significance and its applicability to real-world occurrences have been emphasized in a number of research studies. The purpose of this work is to introduce a new one-parameter discrete distribution for the modeling of count datasets. Some mathematical properties, such as reliability measures, characteristic function, moment-generating function, and associated measurements, such as mean, variance, skewness, kurtosis, and index of dispersion, have been derived and studied.
View Article and Find Full Text PDFA new three-parameter cubic transmuted power distribution is proposed using the cubic rank transformation. The density and hazard functions of the new distribution provide great flexibility. Some mathematical properties of the new model such as quantile function, moments, dispersion index, mean residual life, and order statistics are derived.
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- An indoor convention held in NYC from November 19-21, 2021, attracted around 53,000 attendees and implemented safety measures including HEPA filtration, mandatory masks, and vaccination requirements.
- Following the event, the first community-acquired case of the Omicron variant in the U.S. was reported, leading to investigations by the CDC and health departments regarding potential COVID-19 transmission among attendees.
- Of 4,560 attendees tested, 119 (2.6%) tested positive for COVID-19, primarily showing a correlation between positive cases and attendance at certain venues like bars and nightclubs, but widespread transmission at the event was not confirmed.
The Coronavirus Disease (COVID-19) is a respiratory disease that caused a large number of deaths all over the world since its outbreak. The World Health Organization (WHO) has declared the outbreak a global pandemic. The understanding of the random process related to the behavior infection of COVID-19 is an important health and economic problem.
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