HArho computes rho function using Hampel proposal




rhoHA =HArho(u, ctuning) Plot of rho function.


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  • Plot of rho function.
  • Obtain Figure 11.10 p. 375 of Hoaglin et al. (1987)

    ylabel(' Hampel $\rho(u,[2, 4, 8]) $','Interpreter','Latex','FontSize',14)

    Related Examples

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  • Hampel rho function using a redescending slope of -1/3.
  • % Hampel rho function using a redescending slope of -1/3.
    ylabel(' Hampel $\rho(x) $','Interpreter','Latex')

    Input Arguments

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    u — scaled residuals or Mahalanobis distances. Vector.

    n x 1 vector containing residuals or Mahalanobis distances for the n units of the sample

    Data Types: single| double

    ctuning — tuning parameters. Scalar or Vector.

    Scalar or vector of length 4 which specifies the value of the tuning constant c (scalar greater than 0 which controls the robustness/efficiency of the estimator) and the prefixed values of paramters a, b, c ctuning(1) = tuning constant which will multiply parameters a, b and c of Hampel rho (psi) function ctuning(2) = paramter a of Hampel rho (psi) function ctuning(3) = paramter b of Hampel rho (psi) function ctuning(4) = paramter c of Hampel rho (psi) function Remark: if length(ctuning)==1 values of a, b and c will be set to a=2*ctuning b=4*ctuning c=4*ctuning With these choices, if ctuning=1 the resulting influence function is nearly identical to the biweight with parameter 8.

    Data Types: single| double

    More About

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    Additional Details

    Function HArho transforms vector u as follows \[ HArho(u) = \left\{ \begin{array}{cc} \frac{u^2}{2} & |u| \leq a \\ a \times |u| -0.5 a^2 & a \leq |u| < b \\ ab-0.5a^2+0.5(c-b)a \left[ 1- \left( \frac{c-|u|}{c-b}\right)^2 \right] & b \leq |u| < c \\ ab-0.5a^2+0.5(c-b)a & |u| \geq c \end{array} \right. \]

    where $a$= ctun *ctuning(2).

    $b$= ctun *ctuning(3).

    $c$= ctun *ctuning(4).

    The default is $a$= 2*ctun.

    $b$= 4*ctun.

    $c$= 8*ctun.

    It is necessary to have 0 <= a <= b <= c


    Hoaglin, D.C., Mosteller, F., Tukey, J.W. (1982), "Understanding Robust and Exploratory Data Analysis", Wiley, New York.

    See Also

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