JSM 2011 Online Program

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Abstract Details

Activity Number: 304
Type: Contributed
Date/Time: Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #301428
Title: Approximating Moments of an Estimator of Mean in IG Populations
Author(s): Debaraj Sen*+ and Yogendra P. Chaubey
Companies: Concordia University and Concordia University
Address: 1455, De maisonneuve West, Montreal, QC, H3G 1M8, Canada
Keywords: Inverse Gaussian Population ; Edgeworth expansion ; Taylor's series expansion ; Least squares ; Weighted least squares

This article deals with approximation of the moments of an estimator of the mean of an inverse Gaussian population. Here, we follow the method used in Chaubey and Srivastava (1996) to develop approximation to the first four moments and compare it with those obtained using Taylor series approximation method. The form of the approximation is used in developing empirical formulae as polynomials in the ratio of the square of the coefficient of variation and the sample size.

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