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Across subjects the observed third central moment as well as the
predicted third central moments for the PE model and the Gamma model
differed considerably from the normal
distribution. The distributions were very skew. The values for the
Kolmogorov Smirnov Goodness of Fit statistic K was equal
to 4.047 (p=0.000) for the observed distribution and equal to
5.876 (p=0.000) for the predicted distributions. Application of
Students's t-test for the comparison of two means requires normal
distributions for the variables involved. Therefore, it was decided to
take the natural logarithm of the third central moment instead of the
third central moment itself. However,
in a number of cases (N=69) the observed third central moment was
negative. Because the logarithm is only defined for positive real numbers,
these cases were excluded from further analysis. The values for the
Kolmogorov Smirnov Goodness of Fit statistic K were now equal
to 0.479 (p=0.976) for the observed distribution and equal to
0.943 (p=0.337) for the predicted distributions.
The results of Student's t-tests were as follows:
in the case of the Poisson-Erlang model H0 was not rejected
(observed mean = 0.614, predicted mean = 0.889,
N = 116, t = -1.19, df = 115, p = 0.235) and in the case of the Gamma
model H0 was significant at the 5
(observed mean = 0.614, predicted mean = 1.177,
N = 116, t = -2.44, df = 115, p = 0.016). These results are clearly in
favor of the PE model.
Next: Discussion
Up: The Erlang model as
Previous: Method
AHGS VAN DER VEN
2002-01-14