Generalizing the normality: a novel towards different estimation methods for skewed information

• Main Authors: Nascimento, Diego C, Ramos, Pedro Luiz, Elal-Olivero, David, Cortes-Araya, Milton, Louzada, Francisco
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: arXiv 2021
• Subjects: Methodology stat.ME; Applications stat.AP; FOS Computer and information sciences; Olivero; South Pole; South pole
• Online Access: https://dx.doi.org/10.48550/arxiv.2105.00031; https://arxiv.org/abs/2105.00031

Normality is the most often mathematical supposition used in data modeling. Nonetheless, even based on the law of large numbers (LLN), normality is a strong presumption given that the presence of asymmetry and multi-modality in real-world problems is expected. Thus, a flexible modification in the No...