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doi: 10.1002/bimj.4710300102pmid: N/A
In this paper the analysis of genotypes obtained in a diallel crossing system, including parents, one set of F1′s and reciprocal F1′s, is given. This analysis is presented for data obtained from the experiments carried out in a block design in which block effects are random. The analysis of variance, estimators of reciprocal effects, estimators of general and specific combining abilities are considered. Also statistics for testing hypotheses concerning some genetical parameters are given.
doi: 10.1002/bimj.4710300103pmid: N/A
Hierarchical contingency analysis (HCA) is derived from the Perli‐Hommel‐Lehmacher (1986) closed test procedure for nonparametrical evaluation of learning curves of a 2 x 2‐factorial experiment. By HCA, univariate main effects are detected without Bonferroni alpha adjustment, as is shown by a numerical example from gold fish shock avoidance conditioning. Alternative approaches to nonparametrical evaluation of MANOVA designs with and without repeated measurements are discussed.
Singer, J. M.; Koch, G. G.; Stinnett, S. S.; Warren, D. W.
doi: 10.1002/bimj.4710300104pmid: N/A
An example of simultaneous linear modelling of among and within subject variation through weighted least squares methods is presented as an alternative to standard multivariate analysis of variance techniques. The data pertain to a study of temporal characteristics of some aerodynamic parameters from a speech test used to differentiate groups of individuals with different degrees of palatopharyngeal closure. Both methods are found to yield similar results with respect to the among group comparisons, but the simultaneous strategy enables some further reduction in dimensionality, and thereby extends the description of patterns in the data.
doi: 10.1002/bimj.4710300106pmid: N/A
Computer simulation techniques were used to investigate the Type I and Type II error rates of one parametric (Dunnett) and two nonparametric multiple comparison procedures for comparing treatments with a control under nonnormality and variance homogeneity. It was found that Dunnett's procedure is quite robust with respect to violations of the normality assumption. Power comparisons show that for small sample sizes Dunnett's procedure is superior to the nonparametric procedures also in non‐normal cases, but for larger sample sizes the multiple analogue to Wilcoxon and Kruskal‐Wallis rank statistics are superior to Dunnett's procedure in all considered nonnormal cases. Further investigations under nonnormality and variance heterogeneity show robustness properties with respect to the risks of first kind and power comparisons yield similar results as in the equal variance case.
Prabhakaran, V. T.; Jain, J. P.
doi: 10.1002/bimj.4710300108pmid: N/A
Evaluation of probabilities of the heritability (h2) estimates in full‐sib analysis falling outside the permissible limits (0,1) was undertaken for several combinations of sire/dam numbers, h2 and proportions of dominance and additive × additive epistatic variances, assuming two full‐sibs per mating and the dominance related epistasis as negligible. In the light of the results use of sire component and sire‐dam combination has been recommended in the estimation of heritability of lowly and highly heritable traits respectively.
doi: 10.1002/bimj.4710300110pmid: N/A
The present paper discusses models of Configural Frequency Analysis (CFA). For most models of CFA maximum likelihood estimators are given. For all of these models least squares estimators are also given. These estimators are equivalent to each other if quasiparametric conditions prevail. Using the second approach, the general linear model can be used to systematize CFA models. Numerical examples are given, using both artificial and psychiatric data.
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