Abstract
The exact null distributions of test statistics used for testing up to k(≥1) upper outliers in a two-parameter Laplace sample are investigated. Two types of test statistics, namely, the modified Murphy's test for k upper normal outliers and the general Dixon-type test statistic discussed by Childs, are considered. Utilizing the result of conditional independence of blocked ordered data established by Iliopoulos and Balakrishnan, together with the computational algorithm of Huffer and Lin for distributions of linear combinations of exponential variables, exact critical values of test statistics for testing discordancy of k upper outliers in two-parameter Laplace samples are obtained. For illustration, some examples with pertinent computational details are finally presented. Copyright © 2020 Taylor & Francis Group, LLC.
| Original language | English |
|---|---|
| Pages (from-to) | 5794-5815 |
| Journal | Communications in Statistics - Simulation and Computation |
| Volume | 51 |
| Issue number | 10 |
| Early online date | Jul 2020 |
| DOIs | |
| Publication status | Published - 2022 |
Citation
Lin, C.-T., Balakrishnan, N., & Ling, M. H. (2022). Exact tests for outliers in Laplace samples. Communications in Statistics - Simulation and Computation, 51(10), 5794-5815. doi: 10.1080/03610918.2020.1780444Keywords
- Critical value
- Discordancy test
- Dixon-type test
- Exponential distribution
- Murphy's test
- Spacings