Views on conditional and marginal methods of statistical inference |
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Authors: | D A S Fraser |
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Institution: | 1. Department of Mathematics, York University, 4700 Keele Street, M3J 1P3, North York, Ontario, Canada
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Abstract: | Conditional and marginal likelihood analysis has a long history of development. Some recent methods using exact and approximate density and distribution functions lead to more sharply defined likelihoods and to accurate observed levels of significance for a wide range of problems including nonnormal regression and exponential linear models. These developments will be surveyed. |
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