IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v036i05.html
   My bibliography  Save this article

tolerance: An R Package for Estimating Tolerance Intervals

Author

Listed:
  • Young, Derek S.

Abstract

The tolerance package for R provides a set of functions for estimating and plotting tolerance limits. This package provides a wide-range of functions for estimating discrete and continuous tolerance intervals as well as for estimating regression tolerance intervals. An additional tool of the tolerance package is the plotting capability for the univariate and regression settings as well as for the multivariate normal setting. The tolerance package's capabilities are illustrated using simulated data sets. Formulas used for the estimation procedures are also presented.

Suggested Citation

  • Young, Derek S., 2010. "tolerance: An R Package for Estimating Tolerance Intervals," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i05).
    • Handle: RePEc:jss:jstsof:v:036:i05
    DOI: http://hdl.handle.net/10.18637/jss.v036.i05
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v036i05/v36i05.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v036i05/tolerance_0.2.2.tar.gz
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v036i05/v36i05.R
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v036.i05?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Kedai Cheng & Derek S. Young, 2023. "An Approach for Specifying Trimming and Winsorization Cutoffs," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(2), pages 299-323, June.
    2. Tom Burr & Elisa Bonner & Kamil Krzysztoszek & Claude Norman, 2019. "Setting Alarm Thresholds in Measurements with Systematic and Random Errors," Stats, MDPI, vol. 2(2), pages 1-13, May.
    3. Chen, Cathy W.S. & Lin, Tsai-Yu, 2017. "Nonparametric tolerance limits for pair trading," Finance Research Letters, Elsevier, vol. 21(C), pages 1-9.
    4. Mathew, Thomas & Young, Derek S., 2013. "Fiducial-based tolerance intervals for some discrete distributions," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 38-49.
    5. Maryam Al-Kandari & Kingsley Adjenughwure & Kyriakos Papadopoulos, 2020. "A Fuzzy-Statistical Tolerance Interval from Residuals of Crisp Linear Regression Models," Mathematics, MDPI, vol. 8(9), pages 1-10, August.
    6. Ilaria Lucrezia Amerise, 2023. "A direct method for constructing distribution-free tolerance regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 3941-3954, October.
    7. Penelope S. Pooler & Philip E. Goodrum & Deana Crumbling & Leah D. Stuchal & Stephen M. Roberts, 2018. "Incremental Sampling Methodology: Applications for Background Screening Assessments," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 194-209, January.
    8. Kyung Serk Cho & Hon Keung Tony Ng, 2021. "Tolerance intervals in statistical software and robustness under model misspecification," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-49, December.
    9. Ngan Hoang-Nguyen-Thuy & K. Krishnamoorthy, 2021. "A method for computing tolerance intervals for a location-scale family of distributions," Computational Statistics, Springer, vol. 36(2), pages 1065-1092, June.
    10. Lin, Tsai-Yu & Chen, Cathy W.S. & Syu, Fong-Yi, 2021. "Multi-asset pair-trading strategy: A statistical learning approach," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    11. Thurnher, Christopher & Klopf, Mario & Hasenauer, Hubert, 2017. "MOSES – A tree growth simulator for modelling stand response in Central Europe," Ecological Modelling, Elsevier, vol. 352(C), pages 58-76.
    12. Young, D.S., 2013. "Approximate tolerance limits for Zipf–Mandelbrot distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1702-1711.
    13. Guillermo Vinue & Irene Epifanio, 2021. "Robust archetypoids for anomaly detection in big functional data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(2), pages 437-462, June.
    14. Shin‐Fu Tsai, 2020. "Approximate two‐sided tolerance intervals for normal mixture distributions," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(3), pages 367-382, 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:jss:jstsof:v:036:i05. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    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.