Parameter Estimation for the Truncated Pareto Distribution

نویسندگان

  • Inmaculada B. Aban
  • Mark M. Meerschaert
  • Anna K. Panorska
چکیده

The Pareto distribution is a simple model for nonnegative data with a power law probability tail. In many practical applications, there is a natural upper bound that truncates the probability tail. This paper derives estimators for the truncated Pareto distribution, investigates their properties, and illustrates a way to check for fit. We illustrate these methods with applications from finance, hydrology and atmospheric science.

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تاریخ انتشار 2004