IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v48y2005i3p623-631.html
   My bibliography  Save this article

Bootstrap tests for independence in two-way ordinal contingency tables

Author

Listed:
  • Jeong, Hyeong Chul
  • Jhun, Myoungshic
  • Kim, Daehak

Abstract

No abstract is available for this item.

Suggested Citation

  • Jeong, Hyeong Chul & Jhun, Myoungshic & Kim, Daehak, 2005. "Bootstrap tests for independence in two-way ordinal contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 48(3), pages 623-631, March.
  • Handle: RePEc:eee:csdana:v:48:y:2005:i:3:p:623-631
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(04)00083-0
    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. Jhun, Myoungshic & Jeong, Hyeong-Chul, 2000. "Applications of bootstrap methods for categorical data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 35(1), pages 83-91, November.
    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. Enrico Carlini & Fabio Rapallo, 2011. "A class of statistical models to weaken independence in two-way contingency tables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 1-22, January.

    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. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    2. Yihao Wang & Xiande Zhao & Daming Dong & Chunjiang Zhao & Feng Bao & Rui Guo & Fangxu Zhu & Leizi Jiao, 2023. "Methane Exchange Flux Monitoring between Potential Source Sewage Inspection Wells and the Atmosphere Based on Laser Spectroscopy Method," Sustainability, MDPI, vol. 15(24), pages 1-15, December.
    3. Heike Hans-Dieter & Târcolea Constantin & Demetrescu Matei & Tarcolea Adina-Ioana, 2005. "Determining the Parameters of a Multinomial Distribution: The Fiducial Approach," Stochastics and Quality Control, De Gruyter, vol. 20(2), pages 177-189, January.
    4. Haibo Chu & Jianmin Bian & Qi Lang & Xiaoqing Sun & Zhuoqi Wang, 2022. "Daily Groundwater Level Prediction and Uncertainty Using LSTM Coupled with PMI and Bootstrap Incorporating Teleconnection Patterns Information," Sustainability, MDPI, vol. 14(18), pages 1-16, September.

    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:48:y:2005:i:3:p:623-631. 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.