Abstract #300104

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JSM 2003 Abstract #300104
Activity Number: 98
Type: Contributed
Date/Time: Monday, August 4, 2003 : 9:00 AM to 10:50 AM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #300104
Title: Type I Error in Estimation and Its Control
Author(s): Felix Famoye*+
Companies: Central Michigan University
Address: Department of Mathematics, Mount Pleasant, MI, 48859-0001,
Keywords: Truncation ; sampling fluctuations ; discrete distributions
Abstract:

Every observed sample contains both sampling fluctuations and truncation error. Through the use of examples, we show that the truncation error can be substantial on parameter estimates if the error is left uncontrolled. The greatest effect of truncation error is found with multiparameter probability distributions. To control the truncation error, we recommend the use of truncated probability distributions for parameter estimation even though the sample was taken from a nontruncated model.

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