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Samuelson's inequality : ウィキペディア英語版
Samuelson's inequality
In statistics, Samuelson's inequality, named after the economist Paul Samuelson,〔Paul Samuelson, "How Deviant Can You Be?", ''Journal of the American Statistical Association'', volume 63, number 324 (December, 1968), pp. 1522–1525 〕 also called the Laguerre–Samuelson inequality,〔Jensen, Shane Tyler (1999) (The Laguerre–Samuelson Inequality with Extensions and Applications in Statistics and Matrix Theory ) MSc Thesis. Department of Mathematics and Statistics, McGill University.〕 after the mathematician Edmond Laguerre, states that every one of any collection ''x''1, ..., ''x''''n'', is within √(''n'' − 1) sample standard deviations of their sample mean.
==Definition==
If we let
: \overline = \frac
be the sample mean and
: s = \sqrt \sum_^n (x_i - \overline)^2 }
be the standard deviation of the sample, then
: \overline - s\sqrt \le x_i \le \overline + s\sqrt\qquad \texti = 1,\dots,n. 〔''Advances in Inequalities from Probability Theory and Statistics'', by Neil S. Barnett and Sever Silvestru Dragomir, Nova Publishers, 2008, page 164〕
Equality holds on the left if and only if the ''n'' − 1 smallest of the ''n'' numbers are equal to each other, and on the right iff the ''n'' − 1 largest ones are equal.
Samuelson's inequality may be considered a reason why studentization of residuals should be done externally.

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