JOURNAL OF MULTIVARIATE ANALYSIS | 卷:97 |
The matrix-t distribution and its applications in predictive inference | |
Article | |
Kibria, BMG | |
关键词: elliptically contoured distribution; matrix-t; multivariate linear model; predictive distribution; robustness; spatial prediction; tolerance region; | |
DOI : 10.1016/j.jmva.2005.08.001 | |
来源: Elsevier | |
【 摘 要 】
The predictive distributions of the future responses and regression matrix under the multivariate elliptically contoured distributions are derived using structural approach. The predictive distributions are obtained as matrix-t which are identical to those obtained under matrix normal and matrix-t distributions. This gives inference robustness with respect to departures from the reference case of independent sampling from the matrix normal or dependent but uncorrelated sampling from matrix-t distributions. Some successful applications of matrix-t distribution in the field of spatial prediction have been addressed. (C) 2005 Elsevier Inc. All rights reserved.
【 授权许可】
Free
【 预 览 】
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10_1016_j_jmva_2005_08_001.pdf | 160KB | download |