Finite mixture models, that is, weighted averages of parametric distributions, provide a powerful way to extend parametric families of distributions to fit data sets not adequately fit by a single parametric distribution. First-order finite mixture models have been widely used in the physical, chemical, biological, and social sciences for over 100 years… (More)

Using Animated Probability Plots to Explore the Suitability of Mixture Models with Two Component Distributions, Risk Analysis, revised

Burmaster, Thompson

1999

Highly Influential

5 Excerpts

Distribution of Radon-222 in Community Groundwater Systems: Analysis of Type I Left-Censored Data with Single Censoring Point, Human and Ecological Risk Assessment

Barry, Brattin, T. M. 1998 Barry, W.J

Brattin,

1998

Fitting Second-Order Parametric Distributions to Data Using Maximum Likelihood Estimation, Human and Ecological Risk Assessment, Volume 4, Number

Burmaster, Thompson

1998

3 Excerpts

The Mathematica®

Wolfram, S. 1996 Wolfram

1996

Statistical Distributions, Second Edition

Evans et al, M. 1993 Evans, N. Hastings, B. Peacock

1993

Analysis of Binary Data, Second Edition

Cox, Snell

1989

3 Excerpts

Mixture Models: Inference and Applications to Clustering

McLachlan, Basford, G. J. 1988 McLachlan, K.E

Basford,

1988

Statistical Analysis of Finite Mixture Distributions