短期高密度运动训练,减轻急性运动诱导的生长激素反应的数学WGED模型方法

M. Kaliraja, K. Perarasan
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摘要

在目前的手稿中,我们已经证明了Weibull-G指数分布(三参数)的最新推广,与其他分布相比,它是一个非常熟悉的分布。研究发现,在伽玛和对数正态威布尔分布的位置,利用威布尔- g指数分布(WGED)可以很有效地评价生物数据。它有两个形状参数和三个尺度参数,即a, b, λ。得到了它的一些统计性质,包括保留风险函数、概率密度函数、风险率函数和生存函数。我们的目的是用三参数威布尔广义指数分布来支持寿命的结果。因此,在为期3周的短期高强度运动训练中,分析了相应的概率函数、危险率函数、生存函数和预留危险率函数。本研究的结果支持终身数据的结果,即中期高强度运动活动减弱了急性运动诱导的生长激素释放。
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A Mathematical WGED – Model Approach on Short-Term High in Density Exercise Training, Attenuated Acute Exercise – Induced Growth Hormone Response
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.
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