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Project: The Gini Coefficient—Prelude to Section III

Thomas J. Pfaff ()
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Thomas J. Pfaff: Ithaca College, Department of Mathematics

Chapter Chapter 27 in Applied Calculus with R, 2023, pp 313-314 from Springer

Abstract: Abstract The distribution of energy consumption in the U.S. (2014 data) and World (2011 data) can be modeled by $$ECus(x) = 7.2038917391x^6 -17.8551679663x^5+ 16.5816140612x^4-7.0654275059x^3+ 1.7077246274x^2+ 0.4260396828x$$ E C u s ( x ) = 7.2038917391 x 6 - 17.8551679663 x 5 + 16.5816140612 x 4 - 7.0654275059 x 3 + 1.7077246274 x 2 + 0.4260396828 x and $$ECw(x)= 678.0352163746x^9-2796.2519054480x^8+4802.0852334478x^7-4441.8091503689x^6+ 2389.4054597788x^5-751.8800491391x^4+ 132.3874503758x^3-11.3747211453x^2+0.3569478992x$$ E C w ( x ) = 678.0352163746 x 9 - 2796.2519054480 x 8 + 4802.0852334478 x 7 - 4441.8091503689 x 6 + 2389.4054597788 x 5 - 751.8800491391 x 4 + 132.3874503758 x 3 - 11.3747211453 x 2 + 0.3569478992 x . Both functions and the related data are shown in figure 3.8 in the Function Gallery chapter.Gini coefficient

Date: 2023
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DOI: 10.1007/978-3-031-28571-4_27

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