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Visual assessment could readily distinguish between PET-positive and PET-negative groups, because the normal distribution of 18F-FLT is limited in the central skeleton and ultra-proximal humeri and femurs [12, 15].
Because the Normal distribution ranges from minus infinity to plus infinity, negative predictions are possible when applying this model.
In this case the exponential will lag behind because the normal distribution has more average connection individuals than the exponential one does.
In addition, the normal distribution was used instead of the uniform distribution because the normal distribution better approximates the binomial distribution, which next-generation allele frequencies follow under the Wright Fisher model.
We found that the posterior distribution of incidence or prevalence can be highly skewed if its point estimate is close to 0%, and the normal approximation could be problematic because the normal distribution is symmetric and may take values less than zero or greater than one.
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The Student t-test was used to compare age and total operation duration between the two groups, because they followed the normal distribution.
A normal distribution is presented 1) because of the tradition in evolutionary ecology of analyzing characters which are continuous and normally distributed, and 2) because, in this case, the normal distribution was the distribution most strongly supported by the data according to AIC comparisons.
Because the GN distributions include the normal distribution as a special case, using the GN distributions to fit data enables one to check if the additional parameters characterize the deviation from the normal distribution.
We have chosen the rectangular and the normal distribution because they are both commonly used types of frequency distributions representing the opposite ends of a continuum of distributions with increasingly steep flanks [ 30, 33].
As a result, that optimal value is chosen with a higher frequency because it is the mean of the normal distribution.
These non-parametric tests were chosen because our data did not follow the normal distribution.
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