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Some Comments and a Bibliography on the Laguerre-Samuelson Inequality with Extensions and Applications in Statistics and Matrix Theory

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Analytic and Geometric Inequalities and Applications

Part of the book series: Mathematics and Its Applications ((MAIA,volume 478))

Abstract

We examine an 1880 theorem of Laguerre [50] concerning polynomials with all real roots and a 1968 inequality of Sanmelson [117] for the maximum and minimum deviation from the mean, and establish their equivalence. The bounds provided by Laguerre’s Theorem involve the first three coefficients of an n-th degree polynomial while Samuelson’s Inequality is in terms of the standard deviation (and the mean) of a set of n real numbers (observations). We present eight proofs of this Laguerre-Samuelson inequality and survey the literature; we also give various extensions and applications in statistics and matrix theory. We include some historical and biographical information and present an extensive bibliography with over 100 entries.

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Jensen, S.T., Styan, G.P.H. (1999). Some Comments and a Bibliography on the Laguerre-Samuelson Inequality with Extensions and Applications in Statistics and Matrix Theory. In: Rassias, T.M., Srivastava, H.M. (eds) Analytic and Geometric Inequalities and Applications. Mathematics and Its Applications, vol 478. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4577-0_10

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