Estimation of Area Under BI-Generalized Exponential Distribution ROC Curve Using Confidence Intervals

Many researchers have provided the mathematical formulation of the curve by assuming some specific distribution. Conventionally, much work has been carried out by assuming normal distribution. Both of the populations (groups), the biGeneralized Exponential Distribution model is known to be a good model. In this paper we derive a new method of determining the AUC by utilizing the confidence intervals for Scale and location of the two groups and taking weighted average of possible AUC values with different patterns of weights. We also study the behavior of the new estimator by simulation

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-26
DOI
https://doi.org/10.22214/ijraset.2025.73819
Primary Topic
Imbalanced Data Classification Techniques
Type
article
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article

Estimation of Area Under BI-Generalized Exponential Distribution ROC Curve Using Confidence Intervals

Ramamohan Rao, C. Asha Prasuna
International Journal for Research in Applied Science and Engineering Technology
Imbalanced Data Classification Techniques
article

Estimation of Area Under BI-Generalized Exponential Distribution ROC Curve Using Confidence Intervals

Ramamohan Rao, C. Asha Prasuna
article en

Abstract

Many researchers have provided the mathematical formulation of the curve by assuming some specific distribution. Conventionally, much work has been carried out by assuming normal distribution. Both of the populations (groups), the biGeneralized Exponential Distribution model is known to be a good model. In this paper we derive a new method of determining the AUC by utilizing the confidence intervals for Scale and location of the two groups and taking weighted average of possible AUC values with different patterns of weights. We also study the behavior of the new estimator by simulation

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Openalex Percentile: Top 88%
Imbalanced Data Classification Techniques
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