Description Usage Arguments Value References See Also
Internal function to determine the quantities k.l
and k.u
on the basis of n
, p
, bet
. This function is used within the (internal) functions gen.lms
, undom.a
and undom.para
.
1 | kl.ku(n, p = 0.5, bet, epsilon = 0)
|
n |
Number of observations. |
p |
Quantile of the abolute residuals' distribution to be used as loss function in the LIR analysis. (0.5 corresponds to the median.) |
bet |
Cutoff-point for the normalized profile likelihood function. |
epsilon |
Fraction of coarsening errors considered. |
A vector with 2 elements, k.l
and k.u
.
M. Cattaneo, A. Wiencierz (2012c). On the implementation of LIR: the case of simple linear regression with interval data. Technical Report No. 127. Department of Statistics. LMU Munich.
A. Wiencierz, M. Cattaneo (2012b). An exact algorithm for Likelihood-based Imprecise Regression in the case of simple linear regression with interval data. In: R. Kruse et al. (Eds.). Advances in Intelligent Systems and Computing. Vol. 190. Springer. pp. 293-301.
M. Cattaneo, A. Wiencierz (2012a). Likelihood-based Imprecise Regression. International Journal of Approximate Reasoning. Vol. 53. pp. 1137-1154.
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