Application of Generalized exponential distribution for the glucose levels under various experimental conditions

Abstract

We employed an exponentiated Weibull family to analyze predictions made with time-to event data. This paper, suggested a three-parameter exponentiated Weibull distribution. The exponentiated Weibull distribution encompasses the two-parameter exponentiated exponential,often known as the generalized exponential distribution. The Generalized Exponential Distribution has a right-skewed unimodal density function and a monotone hazard function,similar to the gamma and Weibull distributions. This approach is useful for assessing lifetime data, substituting the gamma, Weibull, and log-normal distributions. This article explains the model's origins, properties, estimating methodology, stress-strength parameter estimates, and how it compares to well-known distribution functions. The current investigation confirms that a glucose level reduces for Type -2 diabetics’ patients, consistent with life-time evidence.