作者: George S. Easton , Robert E. McCulloch
DOI: 10.1080/01621459.1990.10476210
关键词: Multivariate analysis of variance 、 Multivariate stable distribution 、 Univariate 、 Matrix t-distribution 、 Statistical graphics 、 Statistics 、 Multivariate statistics 、 Mathematics 、 Multivariate normal distribution 、 Econometrics 、 Multivariate t-distribution
摘要: Abstract In this article we present a multivariate generalization of quantile-quantile (Q-Q) plots. Like univariate Q-Q plots, these plots are useful for examining the distributional shape point clouds. These based on finding matching between points data set whose is being examined and reference sample. Graphical displays how well clouds match then developed. The sample used as basis comparison typically derived from random known distribution. approach presented in both direct extension usual plot truly nature. It that develop show different aspects one This unlike most generalizations to case, which making standard after some function ...