Abstract
In this paper we consider a random effects panel data model with one-way error components and derive methods for identifying outliers using the deletion technique. These outliers may be a single unit, a single time-point or a particular time-point in a particular unit. Expressions for the diagnostics for each of these three cases are derived and the technique is illustrated through an example. Journal of Statistical Research 2024, Vol. 58, No. 1, pp. 181-196.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
