Univariate and Multivariate Methods for the Analysis of Repeated Measures Data - Tony Wragg - 書籍 - Grin Verlag - 9783640827190 - 2011年3月4日
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Univariate and Multivariate Methods for the Analysis of Repeated Measures Data

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発送予定日 年9月14日 - 年9月24日
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Thesis (M. A.) from the year 1999 in the subject Statistics, grade: Passed, RMIT, course: MAppSc, language: English, comment: This thesis considers both univariate and multivariate approaches to the analysis of a set of repeated-measures data. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often violated. The models in this thesis demonstrate different approaches to the analysis of repeated-measures data, and highlight their advantages and disadvantages. , abstract: This thesis considers both univariate and multivariate approaches to the analysis of a set of repeated-measures data. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often violated. The models in this thesis demonstrate different approaches to the analysis of repeated-measures data, and highlight their advantages and disadvantages. Milk from two groups of lactating cows, one group vaccinated, the other not, was analysed every month after calving for eight months in order to measure the amount of bacteria in the milk. The primary goal of the experiment was to determine if a vaccine developed by the Royal Melbourne Institute of Technology's Biology Department led to a significant decrease in mean bacteria production per litre of milk produced compared to the control group. A univariate model suitable for repeated measures data was initially tried, with mean bacteria production in the treatment group not significantly different from the control group (p < 0.68). The multivariate approach to repeated measures, profile analysis, yielded similar results for treatment effects (p < 0.68), while meeting the necessary assumptions for multivariate analysis. Finally, a generalised multivariate analysis of variance was carried out in order to fit polynomial growth curves for both the control and the vaccinated groups and to test if the


72 pages

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2011年3月4日
ISBN13 9783640827190
出版社 Grin Verlag
ページ数 72
寸法 148 × 210 × 4 mm   ·   112 g
言語 ドイツ語  

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