Density estimation applications for outlier detection

✍ Scribed by M.E Tarter

• Book ID: 103052192
• Publisher: Elsevier Science
• Year: 1979
• Weight: 314 KB
• Volume: 10
• Category: Article
• ISSN: 0010-468X
• DOI: 10.1016/0010-468x(79)90051-5

✦ Synopsis

Nonparametric estimates of joint, conditional and marginal probability densities can be used to estimate the relative probability of a data point's recurrence. Outlier, unusual or abnormal values of a random variate tend to be those which are unlikely to recur. As part of an interactive graphical system, a procedure has been implemented which enables a biomedical researcher to view both the estimated probability and the numerical value of a data point's coordinates. This display circumvents the problem of interpreting a normal range in two or more dimensions and can thus be more easily generalized than most alternative outlier detection procedures.