Temperature data, like many other measurements in quantitative fields, are usually modelled using a normal distribution. However, some distributions can offer a better fit while avoiding underestimati
Results for testing the hypotheses that the normal or lognormal distributions were reasonable fits to the observed location error data. (Lilliefors test with α = 0.05) The normal distribution was neve
The Gaussian distribution better fits tracks with mean speed > 15 μm/min while lognormal better fits tracks with mean speed 15 um/min, skew is 0.52 and kurtosis 3.98.
The Gaussian distribution better fits tracks with mean speed > 15 μm/min while lognormal better fits tracks with mean speed < 5 μm/min. The step speed distribution for fast tracks has a shorter and li