On the construction of approximate multi-factor designs from given marginals using the iterative proportional fitting procedure (Q1094059)
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scientific article; zbMATH DE number 4024562
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On the construction of approximate multi-factor designs from given marginals using the iterative proportional fitting procedure |
scientific article; zbMATH DE number 4024562 |
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On the construction of approximate multi-factor designs from given marginals using the iterative proportional fitting procedure (English)
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1987
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For multifactor designs based on linear models, the information matrix generally depends on a certain set of marginal tables created from the design itself. This note considers the problems of whether a set of marginal tables is consistent, in that a design exist that can yield them, and of calculating such a design when at least one does exist. The results are obtained by direct analogy with the problem of maximum likelihood estimation in loglinear models for categorical data.
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iterative proportional fitting procedure
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main effects models
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multifactor designs
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linear models
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information matrix
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marginal tables
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0.8547338
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0.8532471
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0.8515457
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0.8497738
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0.83855915
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