STATISTICS SEMINAR

SPEAKER:

Yogendra P. Chaubey

Department of Mathematics and Statistics

Concordia University, Montreal

TITLE:

Bayesian Inference for Small Area Estimation under the Inverse Gaussian Distribution

ABSTRACT:

We present a Bayesian method for estimating small area parameters under an inverse Gaussian model. The method is extended to estimate small area parameters for finite populations. The Gibbs sampler is proposed as a mechanism for implementing the Bayesian paradigm. We illustrate the method by application to household income survey data, comparing it against the usual lognormal model for positively skewed data.

About the Speaker

Dr. Y. P. Chaubey is a professor in the Department of Mathematics and Statistics at Concordia University in Montreal. His research interest are in the areas of survival analysis, especially smooth estimation of the survival curve, linear models, sampling methods and resampling. Dr. Chaubey received his B.Sc. from Banaras Hindu University in Varanasi, India followed by a M. Stat. from the Indian Statistical Institute in Calcutta. He then received an M.A. and Ph.D. from the University of Rochester. After graduation Dr. Chaubey spent two years as an assistant professor at Dalhousie University in Halifax before moving to Concordia. In 1985 he took a sabatical position as a visiting scientist in the Department of Theoretical Statistics at the Indian Statistical Institute in Calcutta.

References

Some relevant background references will be posted here shortly.

Department of Mathematics and Statistics

Graduate Program in Statistics

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Last updated on February 25, 2004