Sentence examples for inverse norm from inspiring English sources

Exact(4)

Inverse norm test and Logit test were more conservative, suggesting removal of 11 SNPs.

For strongly correlated p-values (ρ = 0.8 Table 3), the inverse norm, the Wilcoxon and Logit tests also had modest inflations when sample sizes get larger (n > 200).

When p-values were moderately correlated (ρ = 0.2, Beta (2, 5 ), Uniform (0.1, 0.9 ), (Table 4)), the inverse norm, the Wilcoxon and the Logit tests had well controlled Type I errors for all tested sample sizes.

Then we applied global testing, including KS test, Inverse chi test, Inverse norm test, Logit test, Wilcoxon test and Tippett's tests on 25 2 = 300 p-values of 2-way interactions among 25 SNPs.

Similar(56)

This effect is partially alleviated using the inverse tangent norm, as shown in Tables 6 and 7. Table 4 -norm of the tampering using a fixed bit-rate for the hash signature of 200 bps.

Log-energy 1D-DCT 2D-DCT Haar wavelet T F TF Table 6 Inverse tangent norm of the tampering using a fixed bit-rate for the hash signature of 200 bps.

Thus, by multiplying the inverse of norm of the ZF filter coefficient 1 / W i H 2 to the estimated symbol x i ̂, the exact variance of colored noise affected to soft-bit information is reflected on the channel decoder, delivering enhanced channel decoding performance.

This requires in practice to evaluate the sparsity of the tampering in each basis expansion; we use for this purpose the inverse-tangent norm defined in (15).

In the following, we evaluate two aspects of the system, namely: (1) the rate spent for Wyner-Ziv encoding the hash with respect to the rate that would have been spent for encoding and transmitting the projections without DSC; (2) the relation between the and the inverse tangent norms of the quality of the reconstructed tampering in different domains.

High-resolution structural MRI images were additionally obtained from all participants and used to constrain distributed minimum norm inverse source power estimates.

For a matrix A, (A^{ - 1}), (Vert A Vert ), (lambda_{min} (A)), and (lambda _{max}(A)) denote its inverse, the induced norm, the minimum eigenvalues, and maximum eigenvalues, respectively.

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