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In traditional IC (intra-frame coding), the frames are dropped by assuming a statistical model between end-to-end encryption.
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Black error bars indicate estimated statistical errors derived by Gaussian error propagation when assuming a statistical accuracy of 5%% for blood SUVs and 2 % for the tumor SUVs.
Assuming a statistical model with some unknown parameters, we can increase resolution by estimating the parameters from the data at the cost of more computational complexity.
All statistical analyses were performed in SPSS SPSSS, version 13.0), assuming a statistical significance of P ≤.05.
The latter extends a conventional signal quantisation statistical model by assuming a Gaussian distribution noise.
Furthermore, statistical power was computed by assuming a balanced case control design with independent cases and controls.
Statistical noise overrode the error introduced by assuming a linear relation between sap flow and temperature difference within the range between 0 and 1.7 g h−1.
The statistical analyses presented in Table 3 were obtained by assuming a pretest-posttest correlation coefficient of r = 0.5 in all of the studies.
This paper proposes a new Bayesian statistical model to analyze heterogeneous lifetime data by assuming an unknown number of sub-populations.
This can be explained by a low lifetime (20 years), while we assumed a statistical distribution centered on 30 years (Table 1).
The authors assume a statistical model of the room impulse response comprising Gaussian noise modulated by a decaying exponential function.
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