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Methodological study demonstrates a four-parameter generalized inverted Kumaraswamy-Rayleigh model for real-world datasets, highlighting improved flexibility in statistical data modeling.
The paper proposes a new four parameter distribution called Generalized inverted Kumaraswamy- Rayleigh Distribution. Various properties of the proposed distribution including moments, mean deviation about mean and median, entropy, L-moments, stress-strength reliability etc. are obtained. The parameter estimation is carried out using Maximum likelihood estimation procedure. Finally, two real life data sets are incorporated to illustrate the usefulness and flexibility of the proposed model.
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Malik et al. (2023) studied this question.
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