Abstract Management of Outliers The extreme values differing greatly from the majority of the data set upon comparison are called outliers. If the outliers are excessive in quantity, this can result in deviation of the data set from normal distribution and as well as have an influence on the statistical analysis to be carried out. Both the method to be chosen and the calculations used show differences based on the data sets with varying sample sizes. By applying one of the data transformation methods to the data sets possessing excess number of outliers and not showing normal distribution, the data do not only become informative and produce significant summary values, but also make analytical methods available. The aims of this article are to examine descriptive and test-based methods used for detection of outliers affecting distribution of a data set, and to assess data transformations allowing application of parametric methods upon the assumption of normal distribution. Dixon test was determined as the least sensitive, but the fastest result-giving test.
Türkçe Özet: Diğer değerlerle karşılaştırıldığında veri setine uygun olmadığı tespit edilen aşırı değerlere aykırı değer denir. Aykırı değerlerin fazla olması veri setinin normal dağılımdan sapmasına ve yapacağımız istatistiksel analizlerin etkilenmesine sebep olabilir. Hem seçilecek yöntem hem de kullanılan hesaplamalar, farklı örnek genişliği içeren veri setlerine bağlı olarak farklılık göstermektedir. Yapılan testler sonucunda normal dağılmadığı ve fazlasıyla aykırı değer içerdiği belirlenen veri setlerine, veri dönüşüm yöntemlerinden biri uygulanarak hem verinin bilgi sağlayacak hale gelmesi ve anlamlı özet değerler üretmesi, hem de analitik yöntemlerin kullanılabilir hale gelmesi sağlanır. Bu yazının amacı veri setinin dağılımını etkileyen aykırı değerleri tespit etmek için kullanılan tanımlayıcı ve teste dayalı yöntemleri incelemek ve veri setinin dağılımını normal dağılıma benzetip, parametrik yöntemler kullanmaya olanak sağlayan veri dönüşümlerini değerlendirmektir. Dixon testi en az duyarlı ancak en hızlı sonuç veren test olarak belirlenmiştir.
Primary Language | Turkish |
---|---|
Journal Section | Articles |
Authors | |
Publication Date | September 1, 2012 |
Submission Date | June 13, 2014 |
Published in Issue | Year 2012 Volume: 5 Issue: 3 |
MEU Journal of Health Sciences Assoc was began to the publishing process in 2008 under the supervision of Assoc. Prof. Gönül Aslan, Editor-in-Chief, and affiliated to Mersin University Institute of Health Sciences. In March 2015, Prof. Dr. Caferi Tayyar Şaşmaz undertook the Editor-in Chief position and since then he has been in charge.
Publishing in three issues per year (April - August - December), it is a multisectoral refereed scientific journal. In addition to research articles, scientific articles such as reviews, case reports and letters to the editor are published in the journal. Our journal, which has been published via e-mail since its inception, has been published both online and in print. Following the Participation Agreement signed with TÜBİTAK-ULAKBİM Dergi Park in April 2015, it has started to accept and evaluate online publications.
Mersin University Journal of Health Sciences have been indexed by Turkey Citation Index since November 16, 2011.
Mersin University Journal of Health Sciences have been indexed by ULAKBIM Medical Database from the first issue of 2016.
Mersin University Journal of Health Sciences have been indexed by DOAJ since October 02, 2019.
Article Publishing Charge Policy: Our journal has adopted an open access policy and there is no fee for article application, evaluation, and publication in our journal. All the articles published in our journal can be accessed from the Archive free of charge.
This work is licensed with Attribution-NonCommercial 4.0 International.