STP652

    A Comparison of Two Methods for Estimating the Parameters of a Truncated Normal Distribution

    Published: Jan 1978


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    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.

    Keywords:

    ecology, environments, species abundance, lognormal model, maximum likelihood, nonlinear regression, Monte Carlo study


    Author Information:

    Hansen, J
    Statistician and biomathematician, Academy of Natural Sciences of Philadelphia, Philadelphia, Pa

    Zeger, S
    Statistician and biomathematician, Academy of Natural Sciences of Philadelphia, Philadelphia, Pa


    Paper ID: STP35654S

    Committee/Subcommittee: D19.02

    DOI: 10.1520/STP35654S


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