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When to Use Normal Versus Lognormal Distribution The preceding example helped us arrive at what really matters to investors: when to use each method. Lognormal is extremely useful when analyzing ...
A normal distribution is a probability distribution of outcomes that are symmetrical or form a bell curve. In a normal distribution, 68% of the results fall within one standard deviation, and 95% ...
1. Of the many model for species-abundance distributions (SADs), the lognormal has been the most popular and as been put forward as an appropriate null model for testing against theoretical SADs. In ...
An extension of MacArthur's "broken stick" model is proposed to explain why species abundances should be lognormally distributed. A method of fitting the compound Poisson lognormal distribution by ...
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