
The field of mathematical inequalities has exerted a profound influence across a multitude of scientific disciplines, making it a captivating and expansive domain ripe for research investigation. This article offers estimations for the Slater difference through the application of the concept of convexity. We present a diverse type of applications that stem from the main findings related to power means, Zipf–Mandelbrot entropy, and within the field of information theory. Our main tools for deriving estimates for the Slater difference involve the triangular inequality, the definition of the convex function, and the well-established Jensen inequality.
Statistics and Probability, Outlier Detection, Simulation Studies, Robust Estimation, Skew Distributions, QA75.5-76.95, Applied mathematics, Computer science, Methods for Handling Missing Data in Statistical Analysis, Electronic computers. Computer science, Skew Distributions and Applications in Statistics, Physical Sciences, FOS: Mathematics, Regression Analysis, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis
Statistics and Probability, Outlier Detection, Simulation Studies, Robust Estimation, Skew Distributions, QA75.5-76.95, Applied mathematics, Computer science, Methods for Handling Missing Data in Statistical Analysis, Electronic computers. Computer science, Skew Distributions and Applications in Statistics, Physical Sciences, FOS: Mathematics, Regression Analysis, Mathematics, Detection and Handling of Multicollinearity in Regression Analysis
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