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ASpsider

ASpsider computes derivative of psi function (second derivative of rho function) for Andrew's sine function

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Syntax

Description

example

psiderAS =ASpsider(u, c) Plot the derivative of Andrew's psi function (when bdp=0.5).

Examples

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  • Plot the derivative of Andrew's psi function (when bdp=0.5).

    • x=-6:0.01:6;
    c=ASbdp(0.5,1);
    psiASder=ASpsider(x,c);
    plot(x,psiASder)
    xlabel('x','Interpreter','Latex')
    ylabel('$\psi''(x)$','Interpreter','Latex')
    Click here for the graphical output of this example (link to Ro.S.A. website).

    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

    c — tuning parameters. Scalar.

    Scalar greater than 0 which controls the robustness/efficiency of the estimator (beta in regression or mu in the location case ...)

    Data Types: single| double

    Output Arguments

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    psiderAS —derivative of psi function. Vector

    n x 1 vector which contains the values of the derivative of the Andrew's psi function associated to the residuals or Mahalanobis distances for the n units of the sample.

    More About

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    Additional Details

    Function ASpsider transforms vector x as follows

    Remark: Andrew's sine functionon is almost linear around u = 0 in accordance with Winsor's principle that all distributions are normal in the middle.

    This means that \psi (u)/u is approximately constant over the linear region of \psi, so the points in that region tend to get equal weight.

    References

    Andrews, D.F., Bickel, P.J., Hampel, F.R., Huber, P.J., Rogers, W.H., and Tukey, J.W. (1972), "Robust Estimates of Location: Survey and Advances", Princeton Univ. Press, Princeton, NJ. [p. 203]

    Andrews, D. F. (1974). A Robust Method for Multiple Linear Regression, "Technometrics", V. 16, pp. 523-531, https://doi.org/10.1080/00401706.1974.10489233

    See Also

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