Joint-regression analysis for incomplete two-way tables

M. P. Ng; E. R. Williams

doi:10.1111/1467-842X.00165

Joint-regression analysis for incomplete two-way tables

M. P. Ng, E. R. Williams^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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
Number of pages	6
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 - Jun 2001
Externally published	Yes

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10.1111/1467-842X.00165

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Joint-regression analysis for incomplete two-way tables

Abstract

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