Detection Of K-Upper Outliers In Exponential Samples Using Multiple Upper Outlier Tests

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dc.contributor.authorAdesina, Olumide Sunday
dc.date.accessioned2021-03-12T16:28:36Z
dc.date.available2021-03-12T16:28:36Z
dc.date.issued2019-05-21
dc.description.abstractOutlying values have been an issue of concern to researchers and data analysts. The study of multiple outliers is imperative because outlying values may lead to model misspecification, wrong estimation of parameters and incorrect statistical results. This paper proposed Tietjien-Moore test statistics for upper outliers in exponential samples. A simulated study was carried to investigate the strength of the test statistics.en_US
dc.identifier.urihttp://www.anale-informatica.tibiscus.ro/download/lucrari/17-1-30-Dare.pdf
dc.identifier.urihttp://dspace.run.edu.ng:8080/jspui/handle/123456789/195
dc.language.isoenen_US
dc.publisherAnnals. Computer Science Seriesen_US
dc.titleDetection Of K-Upper Outliers In Exponential Samples Using Multiple Upper Outlier Testsen_US
dc.typeArticleen_US
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