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In this article, we introduce a novel distorted transformation with significant applications to reliability analysis. We explore various structural properties and distributional characteristics of this new transformation. Bounds for the hazard and survival functions have been derived. Results are developed on the preservation of aging properties based on various reliability measures. The capacity of the proposed transformation to produce a more flexible hazard function has been explored. Different stochastic orders between the baseline model and its distorted form are discussed. Additionally, we present results pertaining to information measures and tail behaviours, highlighting the comprehensive utility of the proposed transformation in reliability studies. Finally, we propose a distorted form of the Weibull and Lindley models and illustrate their practical applicability using real data sets.
Dileepkumar et al. (Tue,) studied this question.