Joint-regression Analysis for Incomplete Two-way Tables

M.P.  Ng; Emlyn Williams

doi:10.1111/1467-842X.00165

Joint-regression Analysis for Incomplete Two-way Tables

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Abstract

Joint-regression analysis of incomplete two-way tables of genotype-by-environment data is usually carried out using the iterative method of Digby (1979). However, the nonlinear analysis method of Ng & Grunwald (1997) can also be used. The speed of convergence for the Ng & Grunwald method compares favourably with that of Digby, and more importantly the method gives valid inference and hence should be preferred.

Original language	English
Pages (from-to)	201-206
Journal	Australian and New Zealand Journal of Statistics
Volume	43
Issue number	2
DOIs	https://doi.org/10.1111/1467-842X.00165
Publication status	Published - 2001

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title = "Joint-regression Analysis for Incomplete Two-way Tables",

abstract = "Joint-regression analysis of incomplete two-way tables of genotype-by-environment data is usually carried out using the iterative method of Digby (1979). However, the nonlinear analysis method of Ng & Grunwald (1997) can also be used. The speed of convergence for the Ng & Grunwald method compares favourably with that of Digby, and more importantly the method gives valid inference and hence should be preferred.",

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year = "2001",

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AB - Joint-regression analysis of incomplete two-way tables of genotype-by-environment data is usually carried out using the iterative method of Digby (1979). However, the nonlinear analysis method of Ng & Grunwald (1997) can also be used. The speed of convergence for the Ng & Grunwald method compares favourably with that of Digby, and more importantly the method gives valid inference and hence should be preferred.

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DO - 10.1111/1467-842X.00165

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EP - 206

JO - Australian and New Zealand Journal of Statistics

JF - Australian and New Zealand Journal of Statistics

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Joint-regression Analysis for Incomplete Two-way Tables

Abstract

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