Abstract
The lognormal distribution has been used as a model for species abundance. A historical review of the use of this model is given. The method of maximum likelihood described by Cohen (1959, 1961) and a nonlinear regression method developed by Gauch and Chase (1974) have been used to estimate the parameters of the model. These two methods are described and appropriate applications of each method are discussed. The maximum likelihood method, not the nonlinear regression, is appropriate for estimating the parameters of this species abundance model. Results of a Monte Carlo simulation which demonstrates the advantage of maximum likelihood are presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 29-37 |
| Number of pages | 9 |
| Journal | ASTM Special Technical Publication |
| State | Published - Jan 1 1978 |
| Externally published | Yes |
| Event | ASTM Spec Tech Publ 652, Symp on Biol Data in Water Pollut Assess, Quant and Stat Anal - Minneapolis, MN, USA Duration: Jun 20 1977 → Jun 21 1977 |
ASJC Scopus subject areas
- General Engineering