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Some factors like the number of measured DOFs and the accuracy of modal data were assumed to be ideal so that other parameters could be examined.
The missing data were assumed to be MAR.
Data were assumed to follow a normal distribution and presented in mean ± standard deviation (SD), median, and 95% confidence intervals (CI).
The data were assumed to be Poisson distributed and were modeled using Model (1) for census tracts with SRTS intervention and using Model (2) for census tracts without SRTS intervention: y t ~ Poi μ t, (2) log μ t = β 0 + β 1 t + β 2 δ t – τ + β 3 δ t – τ t – τ + log O t, (3) log µ t = β 0 + β 2 δ t – τ + log O t, (4) t = 1, …, 40.
For all analyses, predictor variables with missing data were assumed to be normal.
Missing QL data were assumed to be missing at random.
Similar(14)
Based on graphical residual analyses the data was assumed to be approximately normally distributed.
This data is assumed to be in the format requested by mus_audio_open_output with channels interleaved.
The data is assumed to come from a Gaussian mixture model.
Accuracy is often analyzed using analysis of variance techniques in which the data are assumed to be normally distributed.
Initial data are assumed to be linearly distributed on both sides of a jump discontinuity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com