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The proposed method is employed to estimate the median function and the variance function of a heteroscedastic regression model.
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where 1 < j < i < n;median represents the median function.
This table also contains hypothesis test of the median function values over 25 runs.
and a second to compute t ˜ 1 k, u by applying the median function median: t ˜ 1 k, u = median t 1 k, u, j, λ j | j = 1, 2, …, J and λ j = 1, 2, …, 2 j (16).
mathrm{medSE}=mathrm{median}left({frac{{displaystyle sum_kleft[{widehat{lambda}}_d^2left t,kright -{lambda}_d^2left t,kright)right]}}{{displaystyle sum_k{left({lambda}_d^2left t,kright)right)}^2}}}^2right) (29)where median denotes the median function.
The capacity functions which were based on the adopted capacity model matched the median function or the 50th percentile below which the 50% of the resulting measures of capacity falls below.
For instance, we can obtain a conditional median function by estimating a quantile regression function with τ = 0.5.
These variables were selected because they have been linked to shoulder pain, median nerve function, and other upper extremity injuries [ 18, 21, 24, 25, 37– 37].
Kaplan-Meier plots were constructed to estimate the median survival function, and log-rank tests were performed to compare the survival curves of the two survival groups (low- and high-risk groups).
Relation between median and ulnar nerve function and wrist kinematics during wheelchair propulsion.
The results suggest only minor uncertainty in the KM survivor function and median duration of use caused by recall error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com