Statistical Analysis of Water Purification (Using Vinyl Chloride) Data

Abstract

Water is important to live because of its impacts on food supply and the natural environment for all living things. Approximately 0.3 percent of water resources are usable in the world. Groundwater is the principal source of drinking water but the air, sea, land, rivers, lakes, ocean, and wells are also the essential sources of water. Many statistical models have been used to analyze the water data set so that to make predictions in a better way with limited resources of water. In this paper, a new approach is offered to model the data of water purification using vinyl chloride data. Various statistical properties of the proposed model have been derived. Maximum likelihood estimation is used to estimate the model parameters. Monte Carlo simulations are used to show the consistency of parameters. Using water purification using vinyl chloride, the suggested model application is studied and compared with that of other existing models such as EGF, GF, and F. The results showed that our model provides a much better fit while modeling this data set rather than EGF, GF, and F distributions.

A simple water purification tool as an effort to meet clean water needs

“…Dissolved pyrite causes a low water pH and has high Fe and Mn metals. Especially when a disaster occurs, the availability of water is minimal [34], [35] Further, water is one of the components that make up the Earth's mantle, where nearly 70% of the Earth is surrounded by water, and 15% is in the vapor phase. The presence of DO in water does not only depend on the presence of contaminants but also depends on other parameters.…”