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  • 1. Small area estimation under an inverse Gaussian model Archived
    Articles and reports: 12-001-X199600114387
    Description:

    In this paper, we consider analysis of variance methodology for inverse Gaussian distribution and adapt it for estimation of small area parameters in finite populations. It is demonstrated, through a Monte Carlo study, that these estimators offer a competitive choice for positively skewed survey data such as income or yield of a particular sector.

    Release date: 1996-06-14
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  • 1. Small area estimation under an inverse Gaussian model Archived
    Articles and reports: 12-001-X199600114387
    Description:

    In this paper, we consider analysis of variance methodology for inverse Gaussian distribution and adapt it for estimation of small area parameters in finite populations. It is demonstrated, through a Monte Carlo study, that these estimators offer a competitive choice for positively skewed survey data such as income or yield of a particular sector.

    Release date: 1996-06-14
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