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