Spuriosity and outliers in directional data
作者:
Parthasarathy Bagchi,
Irwin Guttman,
期刊:
Journal of Applied Statistics
(Taylor Available online 1990)
卷期:
Volume 17,
issue 3
页码: 341-350
ISSN:0266-4763
年代: 1990
DOI:10.1080/02664769000000006
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
This paper discusses inference regarding the mean direction and the concentration parameters based on data from the von Mises distribution from a Bayesian point of view, when k(k < n/2) of the n observations are spurious, that is, are from a von Mises population with a shifted mean direction. The Bayesian analysis for this spuriosity case provides both detection, identification, and estimation for the mean direction and the concentration parameter when indeed spurious observations are present, possibly giving rise to outliers.
点击下载:
PDF (477KB)
返 回