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Profile analysis of mothers susceptible to contaminant exposure in the Algarve region: Application of the HJ-BIPLOT method

100%
Serafim A., Company R., Lopes B., Silva N., Castela E., Bebianno M. J., Castela G.
Biometrical Letters
|
2012
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tom 49
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nr 1
57-66
EN
The HJ-BIPLOT method developed by Galindo (1986) was applied in order to identify and categorize mothers vulnerable to environmental contamination in the Algarve region (South Portugal). The application of the BIPLOT method made it possible to recognize the most important exposure routes for contamination, showing that workplace, diet and smoking habits seem the most significant factors contributing to maternal and foetal exposure vulnerability
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Tests for profile analysis based on two-step monotone missing data

100%
Onozawa M., Takahashi S., Seo T.
Discussiones Mathematicae Probability and Statistics
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2013
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tom 33
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nr 1-2
171-190
EN
In this paper, we consider profile analysis for the observations with two-step monotone missing data. There exist three interesting hypotheses - the parallelism hypothesis, level hypothesis, and flatness hypothesis - when comparing the profiles of some groups. The T²-type statistics and their asymptotic null distributions for the three hypotheses are given for two-sample profile analysis. We propose the approximate upper percentiles of these test statistics. When the data do not have missing observations, the test statistics perform lower than the usual test statistics, for example, as in [8]. Further, we consider a parallel profile model for several groups when the data have two-step monotone missing observations. Under the assumption of non-missing data, the likelihood ratio test procedure is derived by [16]. We derive the test statistic based on the likelihood ratio. Finally, in order to investigate the accuracy for the null distributions of the proposed statistics, we perform a Monte Carlo simulation for some selected parameters values.
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An application of canonical variate analysis in profile comparison of dry matter content of white clover between ozone-sensitive and ozone-resistant clones exposed in ambient air conditions

75%
Kayzer D., Budka A., Borowiak K., Zbierska J., Lisiak M.
Biometrical Letters
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2015
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tom 52
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nr 1
23-35
EN
Tropospheric ozone affects plant growth and the yield of main pasture species all around the world. Experiments are usually performed in fully controlled conditions; the number of investigations in ambient air conditions is still limited. Moreover, most investigations of the effect of ozone on white clover biomass production consider one series after the other, including a period without leaves. Hence, based on the recommendations, additional series are proposed and studied here. The responses of sensitive and resistant white clover clones are presented and compared using multivariate analysis of variance and profile analysis. The canonical variate analysis used here makes it possible to present the profile comparison of dry matter content of white clover graphically in Euclidean space. The investigations revealed a difference in response between clones and the necessity of using the additional series.
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