Quadrat Analysis_RW_Thomas

Table 7 illustrates the results of fitting the

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Unformatted text preview: ouble Poisson, by moments estimation, to McConnell and Horn's data for the distribution of karst depressions in the Mitchell Plain, Indiana. The Kolmogorov-Smirnov D statistic shows that the negative binomial gives an adequate description at the p = .15 significance level, while the double Poisson gives a slightly better fit at the p = .20 significance level. This situation, where two theories derived from different assumptions are found to fit the same data set, is termed complementarity. The problem arises because in both instances the model parameters are estimated from the data. Both models make assumptions about the location of points in time and naturally the model parameters are deduced from these assumptions; indeed, Feller (1943) has concluded that it is impossible to distinguish between two contagious distributions on the single criterion of the observed frequency array. Clearly, further information on the evolution of the observed pattern is required before any confident conclusions ca...
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