文章基本信息

标题：Regression analysis with compositional data containing zero values
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作者：Michail Tsagris
期刊名称：Chilean Journal of Statistics
印刷版ISSN：0718-7912
电子版ISSN：0718-7920
出版年度：2015
卷号：6
期号：2
页码：47-57
出版社：Chilean Statistical Society
摘要：Regression analysis, for prediction purposes, with compositional data is the sub ject of this paper. We examine both cases when compositional data are either response or predictor variables. A parametric model is assumed but the interest lies in the accuracy of the predicted values. For this reason, a data based power transformation is employed in both cases and the results are compared with the standard log-ratio approach. There are some interesting results and one advantage of the methods proposed here is the handling of the zero values.
关键词：Compositional data ; regression ; prediction ; α-transformation ; principal ; component regression