A Study of Weighted Distribution and Transmuted power function Distribution | Original Article

ABSTRACT:

The distribution of weight in a vehicle, such as a car, an aircraft, or a train, is known as weight distribution. As a rule, it is stated in the form xy, where x is the proportion of weight in the front and y is the percentage of weight in the rear. Weight distribution has a direct impact on a number of vehicle attributes, including handling, acceleration, traction, and component life, in vehicles that rely on gravity. So, the planned use of the vehicle has an effect on the weight distribution. Drag cars, for example, use rear-wheel drive to enhance traction while minimizing reactive pitch-up torque. By putting a little quantity of counterweight front of the rear axle, it provides this counter-torque. It is common to use the power function distribution to simulate failure processes and to analyses data on the distribution of income across a person's lifespan. As an example, the distribution may be used to examine the dependability of electrical components and semiconductors. As contrast to more sophisticated distributions like the Weibull distribution, power function distributions are very simple to understand in terms of their mathematical structure. A primary focus of the research was on Characterizations. Characteristics based on notions of dependability, It is possible to calculate the probabilities of a weighted distribution based on the weighted distribution's size-biased distribution, as well as the maximum likelihood estimation of a simulated dataset.