Symbolic Maximum Likelihood Estimation with Mathematica

نویسندگان

  • Colin Rose
  • Murray D. Smith
چکیده

Mathematica is a symbolic programming language that empowers the user to undertake complicated algebraic tasks. One such task is the derivation of maximum likelihood estimators, demonstrably an important topic in statistics at both the research and the expository level. In this paper, a Mathematica package is provided that contains a function entitled SuperLog. This function utilizes pattern-matching code that enhances Mathematica's ability to simplify expressions involving the natural logarithm of a product of algebraic terms. This enhancement to Mathematica's functionality can be of particular bene®t for maximum likelihood estimation.

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تاریخ انتشار 1999