The aim of this paper is to present a distribution-free method based on an application of bootstrap method to obtain confidence intervals of Morisita's index, in a temporal sequence, in order to characterize the spatial-temporal dynamics of the coffee-leaf-miner (L.
It was presented a distribution-free method based on the bootstrap method to obtain confidence interval for testing the hypothesis of randomness.
For many applications, rather than trying to find an appropriate statistical distribution or transformation to model the observed data, it would probably be better to abandon this classic approach and switch to modern distribution-free methods
Like previous revisions since 1989, this edition reflects current levels of computing power and the scope of applying nonparametric or distribution-free methods
, especially the tendency to combine them with other methods.
Nonparametric and distribution-free methods
for the social sciences.