Simple Efficient Estimation for Three-Parameter Lognormal Distributions with Applications to Emissions Data and State Traffic Rate Data

We propose some simple efficient estimators for the three-parameter lognormal distribution. In addition to their computational superiority, these estimators are more efficient (in terms of mean square errors) than the modified moment estimators proposed by Cohen and Whitten and are also more efficient than the local maximum likelihood estimators in many cases. Several illustrative examples are finally presented, some dealing with the analysis of emissions data.