期刊名称：Case Studies in Business, Industry and Government Statistics
印刷版ISSN：2152-372X
出版年度：2007
卷号：1
期号：2
页码：183-202
出版社：Bentley University
摘要：The Grapevine Wood Diseases National Observatory yields a cohesive and large data set which may be analyzed with different approaches. In our study, we deal with complex data composed of quantitative and qualitative variables which evolve with time, since data for three successive years are available. The objective of the study was to produce the largest possible amount of information from this data set, in order to highlight main trends. To this aim, we used several data analysis techniques. Our study proceeds in three stages. First, relationships between the different variables are identified using bivariate measures of association and tests. Then factorial methods, namely multiple correspondence analysis and factor analysis of mixed data are used to look for multivariate dependencies between the variables of the dataset. Last, we use factor analysis of multi-tables, each table representing a year, in order to account for the successive years of data. The exposition is accessible to readers with an intermediate knowledge of statistics. A prior exposure to multiple correspondence analysis is quite useful for reading the article.
关键词：Fisher-Freeman-Halton exact test; Multiple correspondence analysis; Factor analysis of mixed data; Factor analysis of multi-tables.s-pow
