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In the one-parameter regression model with AR(1) and AR(2) errors we find explicit expressions and a continuous approximation of the optimal discrete design for the signed least square estimator.
The angle transformed into degrees is α=θ∗180/π that gives values in the range (−180, 180] degrees. For the "signed" gradient, it is needed to translate the range of the gradient from (−180, 180] to [0, 360) degrees.
Matrix correlations between the covariance matrices for the means of both wings of each individual and for the signed (right−left) differences were computed and tested with a matrix permutation test using 10,000 random permutations of landmarks in one of the matrices (x and y coordinates of each landmark were kept together) [16].
For the signed difference, a positive sign indicated that the patient gave a higher rating than the physiotherapist and a negative sign indicated the opposite.
Using this fact, we can obtain an exact formula for the signed super short reversal distance of a signed permutation π (Theorem 1).
However, non-parametric tests (FET and sign) were not significant for the signed difference of expression CV.
Similar(44)
Just look for the sign below.
The landmarks commission doesn't pay for the signs.
I'd almost stopped looking for the signs of spring.
That person asked for $30,000 for the sign.
(13 where sgn stands for the sign function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com