IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v51y2007i8p3800-3810.html
   My bibliography  Save this article

Identifying outliers with sequential fences

Author

Listed:
  • Schwertman, Neil C.
  • de Silva, Rapti

Abstract

No abstract is available for this item.

Suggested Citation

  • Schwertman, Neil C. & de Silva, Rapti, 2007. "Identifying outliers with sequential fences," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3800-3810, May.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:8:p:3800-3810
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(06)00043-0
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vic Barnett, 1978. "The Study of Outliers: Purpose and Model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(3), pages 242-250, November.
    2. Kay I. Penny, 1996. "Appropriate Critical Values When Testing for a Single Multivariate Outlier by Using the Mahalanobis Distance," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(1), pages 73-81, March.
    3. Carling, Kenneth, 2000. "Resistant outlier rules and the non-Gaussian case," Computational Statistics & Data Analysis, Elsevier, vol. 33(3), pages 249-258, May.
    4. J. Bacon‐Shone & W. K. Fung, 1987. "A New Graphical Method for Detecting Single and Multiple Outliers in Univariate and Multivariate Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(2), pages 153-162, June.
    5. Schwertman, Neil C. & Owens, Margaret Ann & Adnan, Robiah, 2004. "A simple more general boxplot method for identifying outliers," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 165-174, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fried, Roland, 2007. "On the robust detection of edges in time series filtering," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1063-1074, October.
    2. Hubert, M. & Vandervieren, E., 2008. "An adjusted boxplot for skewed distributions," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5186-5201, August.
    3. Paul C. Nystrom & Ehsan S. Soofi, 2012. "Rare, outlier and extreme: beyond the Gaussian model and measures," International Journal of Complexity in Leadership and Management, Inderscience Enterprises Ltd, vol. 2(1/2), pages 6-38.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schwertman, Neil C. & Owens, Margaret Ann & Adnan, Robiah, 2004. "A simple more general boxplot method for identifying outliers," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 165-174, August.
    2. Hubert, M. & Vandervieren, E., 2008. "An adjusted boxplot for skewed distributions," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5186-5201, August.
    3. Andrés Ortega-Ballesteros & Francisco Iturriaga-Bustos & Alberto-Jesus Perea-Moreno & David Muñoz-Rodríguez, 2022. "Advanced Pressure Management for Sustainable Leakage Reduction and Service Optimization: A Case Study in Central Chile," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    4. Shengdi Chen & Qingwen Xue & Xiaochen Zhao & Yingying Xing & Jian John Lu, 2021. "Risky Driving Behavior Recognition Based on Vehicle Trajectory," IJERPH, MDPI, vol. 18(23), pages 1-14, November.
    5. Fabio Galeotti & Daniel John Zizzo, 2015. "Competence versus Honesty : What Do Voters Care About ?," Working Papers 1520, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    6. César Merino-Soto & Alicia Boluarte Carbajal & Filiberto Toledano-Toledano & Laura A. Nabors & Miguel Ángel Núñez-Benítez, 2022. "A New Story on the Multidimensionality of the MSPSS: Validity of the Internal Structure through Bifactor ESEM," IJERPH, MDPI, vol. 19(2), pages 1-17, January.
    7. Fabio Galeotti & Daniel John Zizzo, 2014. "Competence versus Trustworthiness: What Do Voters Care About?," Post-Print halshs-02467510, HAL.
    8. Louisa Lorenz & Anne Doherty & Patricia Casey, 2019. "The Role of Religion in Buffering the Impact of Stressful Life Events on Depressive Symptoms in Patients with Depressive Episodes or Adjustment Disorder," IJERPH, MDPI, vol. 16(7), pages 1-13, April.
    9. Nawin Raj & Zahra Gharineiat, 2021. "Evaluation of Multivariate Adaptive Regression Splines and Artificial Neural Network for Prediction of Mean Sea Level Trend around Northern Australian Coastlines," Mathematics, MDPI, vol. 9(21), pages 1-18, October.
    10. Emily Groenewald & Gary Van Vuuren, 2024. "Visualisation of Mahalanobis Distances for Trivariate JOINT Distributions," International Journal of Economics and Financial Issues, Econjournals, vol. 14(2), pages 203-206, March.
    11. Gyula Gyebnár & Zoltán Klimaj & László Entz & Dániel Fabó & Gábor Rudas & Péter Barsi & Lajos R Kozák, 2019. "Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – Theory, simulations and example cases," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-30, September.
    12. Lumbreras, Mikel & Garay-Martinez, Roberto & Arregi, Beñat & Martin-Escudero, Koldobika & Diarce, Gonzalo & Raud, Margus & Hagu, Indrek, 2022. "Data driven model for heat load prediction in buildings connected to District Heating by using smart heat meters," Energy, Elsevier, vol. 239(PD).
    13. Gökhan Akıncı & Lutfihak Alpkan & Bora Yıldız & Gaye Karacay, 2022. "The Link between Ambidextrous Leadership and Innovative Work Behavior in a Military Organization: The Moderating Role of Climate for Innovation," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    14. Gu, Bingmei & Liu, Jiaguo & Ye, Xiaoheng & Gong, Yu & Chen, Jihong, 2024. "Data-driven approach for port resilience evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    15. Peter Congdon, 2017. "Quantile regression for overdispersed count data: a hierarchical method," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-19, December.
    16. Mauro Mussini, 2014. "Decomposing inequality change from the perspective of reranking and income growth between income groups," Empirical Economics, Springer, vol. 47(2), pages 619-637, September.
    17. Lu Chen & Luca Sartore & Habtamu Benecha & Valbona Bejleri & Balgobin Nandram, 2022. "Smoothing County-Level Sampling Variances to Improve Small Area Models’ Outputs," Stats, MDPI, vol. 5(3), pages 1-18, September.
    18. Marta Kowal & Piotr Sorokowski, 2022. "Sex Differences in Physical Attractiveness Investments: Overlooked Side of Masculinity," IJERPH, MDPI, vol. 19(7), pages 1-9, March.
    19. Stavros D Veresoglou & Barry Thornton & George Menexes & Andreas P Mamolos & Demetrios S Veresoglou, 2012. "Soil Fertilization Leads to a Decline in Between-Samples Variability of Microbial Community δ13C Profiles in a Grassland Fertilization Experiment," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-8, September.
    20. Brandi, Giuseppe & Di Matteo, T., 2022. "Multiscaling and rough volatility: An empirical investigation," International Review of Financial Analysis, Elsevier, vol. 84(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:51:y:2007:i:8:p:3800-3810. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.