🧠 Advanced Count Data 📊 Modeling Using a Mixed Poisson–Komal Distribution!☢️🌾

 🧮📊 This research proposes a new mixed Poisson–Komal distribution designed to effectively model overdispersed and heterogeneous count data, extending classical Poisson frameworks with enhanced flexibility and analytical strength.

☢️🌾 The model is applied to real radiation exposure and agricultural datasets, demonstrating improved goodness-of-fit, adaptability, and reliability compared with existing count data distributions.

🩺📈 Applications to medical science data confirm the model’s practical relevance, showing accurate event-rate estimation, robust parameter inference, and strong potential for interdisciplinary use across applied statistical and scientific research.

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