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The class of bent cables includes the commonly used broken stick (a bent cable without a bend segment).
This problem was solved by applying the broken stick method.
The broken stick method results in estimates that are closer to the mean.
Factor importance was determined using the broken stick distribution.
Frontier [ 37] proposed comparing eigenvalues from a PCA to values given by the broken stick distribution.
An example of broken stick distribution with a plot can be found in Section 3.2.
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However, increasing K = 4 to K = 5 does not yield a better broken-stick model.
Also the beta-binomial broken-stick model fits better than its linear counterpart.
Table 1 shows that the binomial broken-stick model fits better than the binomial model with the linear predictor.
"Broken-stick" relationships which involved sudden change points did not fit the response data better than smooth relationships obtained from generalised additive or linear models.
Supporting Text S1 provides a full analysis of the departure from MacArthur's broken-stick model, and the derivations of the Arrhenius c and z.
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