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and −2 is the least absolute remainder. In the division of 42 by 5, we have: 42 = 8 × 5 + 2, and since 2 < 5/2, 2 is both the least positive remainder and the least absolute remainder. In these examples, the (negative) least absolute remainder is obtained from the least positive remainder by subtracting 5, which is d. This holds in general.
Least absolute deviations (LAD), also known as least absolute errors (LAE), least absolute residuals (LAR), or least absolute values (LAV), is a statistical optimality criterion and a statistical optimization technique based on minimizing the sum of absolute deviations (also sum of absolute residuals or sum of absolute errors) or the L 1 norm of such values.
The theorem which underlies the definition of the Euclidean division ensures that such a quotient and remainder always exist and are unique. [20] In Euclid's original version of the algorithm, the quotient and remainder are found by repeated subtraction; that is, r k−1 is subtracted from r k−2 repeatedly until the remainder r k is smaller ...
In arithmetic, Euclidean division – or division with remainder – is the process of dividing one integer (the dividend) by another (the divisor), in a way that produces an integer quotient and a natural number remainder strictly smaller than the absolute value of the divisor. A fundamental property is that the quotient and the remainder ...
The simplest methods of estimating parameters in a regression model that are less sensitive to outliers than the least squares estimates, is to use least absolute deviations. Even then, gross outliers can still have a considerable impact on the model, motivating research into even more robust approaches.
This solution has been rediscovered in different disciplines and is variously known as standardised major axis (Ricker 1975, Warton et al., 2006), [14] [15] the reduced major axis, the geometric mean functional relationship (Draper and Smith, 1998), [16] least products regression, diagonal regression, line of organic correlation, and the least ...
A Euclidean function on R is a function f from R \ {0} to the non-negative integers satisfying the following fundamental division-with-remainder property: (EF1) If a and b are in R and b is nonzero, then there exist q and r in R such that a = bq + r and either r = 0 or f (r) < f (b).
By this definition, the Webster method is the least-biased apportionment method, [19] while Huntington-Hill exhibits a mild bias towards smaller parties. [18] However, other researchers have noted that slightly different definitions of bias, generally based on percent errors , find the opposite result (The Huntington-Hill method is unbiased ...