A Mathematical WGED – Model Approach on Short-Term High in Density Exercise Training, Attenuated Acute Exercise – Induced Growth Hormone Response

M Kaliraja M Kaliraja,K Perarasan K Perarasan

doi:10.15415/mjis.2019.81001

Abstract

In the current manuscript, we have demonstrated the recent generalization of Weibull-G exponential distribution (three-parameter) and it is a very familiar distribution as compared to other distribution.It has been found that Weibull-G exponential distribution (WGED) can be utilized pretty efficiently to evaluate the biological data in the position of gamma and log-normal Weibull distributions. It has two shape parameters and the three scale parameters namely, a, b, λ. Some of its statistical properties are acquired, which includes reserved hazard function, probability-density function, hazard-rate function and survival function. Our aim is to shore-up the results of life-time using three-parameter Weibull generalized exponential distribution. Hence, the corresponding probability functions, hazard-rate function, survival function as well as reserved hazard-rate function has been analyzed in the 3 weeks of high-intensity exercise training in short-term. The outcomes of the present study supporting the results of life-time data that the interim elevated intensity exercise activity attenuated an acute exercise induced growth hormone release.

Highlights

The Weibull models are employed to explain diverse types of observed failures of components and phenomena
We have demonstrated the recent generalization of Weibull-G exponential distribution and it is a very familiar distribution as compared to other distribution
The origin and other attitude of Weibull-G exponential distribution (WGED) would extract in a random variable X is supposed to encompass the ED with parameters λ> 0 if its probability-density function (PDF) is specified by g(x) = λe−λx, x > 0, Whereas the cumulative distribution function (CDF) is known by

Summary

Introduction

The Weibull models are employed to explain diverse types of observed failures of components and phenomena. The Weibull analyses are occupied on a single failure class and its applications are well-known for real life problems (Nassar et al 2018). The medicine, engineering, insurance, economics and finance fields are using a number of standard theoretical distributions. Generalizing these standard distributions has produced several compound distributions that are more flexible than base line distributions (Rinne 2008). Researchers have made numerous efforts to intend the ideas to generate new sets of distributions, please refer Bourguignon et al (2014) for further details

Objectives

Methods

Results