Publicación: A HEAVY-TAILED DISTRIBUTION BASED ON THE LOMAX-RAYLEIGH DISTRIBUTION WITH APPLICATIONS TO MEDICAL DATA
Fecha
2023
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MATHEMATICS
Resumen
IN THIS PAPER, WE EXTEND THE LOMAX-RAYLEIGH DISTRIBUTION TO INCREASE ITS KURTOSIS. THE CONSTRUCTION OF THIS DISTRIBUTION IS BASED ON THE IDEA OF THE SLASH DISTRIBUTION, THAT IS, ITS REPRESENTATION IS BASED ON THE QUOTIENT OF TWO INDEPENDENT RANDOM VARIABLES, ONE BEING A RANDOM VARIABLE WITH A LOMAX-RAYLEIGH DISTRIBUTION AND THE OTHER A BETA(Q,1). BASED ON THE REPRESENTATION OF THIS FAMILY, WE STUDY ITS BASIC PROPERTIES, SUCH AS MOMENTS, COEFFICIENTS OF SKEWNESS, AND KURTOSIS. WE PERFORM STATISTICAL INFERENCE USING THE METHODS OF MOMENTS AND MAXIMUM LIKELIHOOD. TO ILLUSTRATE THIS METHODOLOGY, WE APPLY IT TO TWO REAL DATA SETS.
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Slash distribution, Lomax?Rayleigh distribution, kurtosis
