MIM is a tool for graphical modeling applied in many different fields. It is designed to help you understand complex multivariate data, by facilitating graphical representations of the dependencies between the variables under study.
MIM is based on a comprehensive class of statistical models for discrete and continuous data. The dependence properties of the models can be displayed in the form of a graph. MIM implements a full range of statistical techniques based on the models, including maximum likelihood estimation, hypothesis testing, model selection and much more.
Last modified on 9 July 2003 by webmaster.
© 2003 AbsInt.
URL: http://www.aisee.com/apps/mim.htm
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