IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v54y2013i2p443-456.html
   My bibliography  Save this article

Correlation is first order independent of transformation

Author

Listed:
  • Christopher Withers
  • Saralees Nadarajah

Abstract

We show that the correlation between the estimates of two parameters is almost unchanged if they are each transformed in an arbitrary way. To be more specific, the correlation of two estimates is invariant (except for a possible sign change) up to a first order approximation, to smooth transformations of the estimates. There is a sign change if exactly one of the transformations is decreasing in a neighborhood of its parameter. In addition, we approximate the variance, covariance and correlation between functions of sample means and moments. Copyright Springer-Verlag 2013

Suggested Citation

  • Christopher Withers & Saralees Nadarajah, 2013. "Correlation is first order independent of transformation," Statistical Papers, Springer, vol. 54(2), pages 443-456, May.
    • Handle: RePEc:spr:stpapr:v:54:y:2013:i:2:p:443-456
    DOI: 10.1007/s00362-012-0442-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00362-012-0442-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00362-012-0442-5?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
    ---><---

    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. Radosław Kala & Paweł Pordzik, 2009. "Estimation in singular partitioned, reduced or transformed linear models," Statistical Papers, Springer, vol. 50(3), pages 633-638, June.
    2. Dejian Lai, 2010. "Box–Cox transformation for spatial linear models: a study on lattice data," Statistical Papers, Springer, vol. 51(4), pages 853-864, December.
    3. C. Withers, 1988. "Nonparametric confidence intervals for functions of several distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(4), pages 727-746, December.
    Full references (including those not matched with items on IDEAS)

    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. Christopher S. Withers & Saralees Nadarajah, 2014. "Expansions about the Gamma for the Distribution and Quantiles of a Standard Estimate," Methodology and Computing in Applied Probability, Springer, vol. 16(3), pages 693-713, September.
    2. Christopher Withers & Saralees Nadarajah, 2008. "Edgeworth expansions for functions of weighted empirical distributions with applications to nonparametric confidence intervals," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 20(8), pages 751-768.
    3. Christopher Withers & Saralees Nadarajah, 2010. "Expansions for log densities of asymptotically normal estimates," Statistical Papers, Springer, vol. 51(2), pages 247-257, June.
    4. S. J. Haslett & X. Q. Liu & A. Markiewicz & S. Puntanen, 2020. "Some properties of linear sufficiency and the BLUPs in the linear mixed model," Statistical Papers, Springer, vol. 61(1), pages 385-401, February.
    5. Radosław Kala & Simo Puntanen & Yongge Tian, 2017. "Some notes on linear sufficiency," Statistical Papers, Springer, vol. 58(1), pages 1-17, March.
    6. Withers, Christopher S. & Nadarajah, Saralees, 2012. "Improved confidence regions based on Edgeworth expansions," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4366-4380.
    7. Yongge Tian, 2017. "Transformation approaches of linear random-effects models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(4), pages 583-608, November.
    8. Withers, Christopher S. & Nadarajah, Saralees, 2009. "Accurate tests and intervals based on linear cusum statistics," Statistics & Probability Letters, Elsevier, vol. 79(5), pages 689-697, March.
    9. Withers, Christopher S. & Nadarajah, Saralees, 2010. "The distribution and quantiles of functionals of weighted empirical distributions when observations have different distributions," Statistics & Probability Letters, Elsevier, vol. 80(13-14), pages 1093-1102, July.
    10. Withers, Christopher S. & Nadarajah, Saralees, 2009. "Accurate tests and intervals based on nonlinear cusum statistics," Statistics & Probability Letters, Elsevier, vol. 79(21), pages 2242-2250, November.
    11. Christopher Withers & Saralees Nadarajah, 2010. "Tilted Edgeworth expansions for asymptotically normal vectors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(6), pages 1113-1142, December.
    12. Christopher S. Withers & Saralees Nadarajah, 2022. "Cornish-Fisher Expansions for Functionals of the Weighted Partial Sum Empirical Distribution," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 1791-1804, September.
    13. Christopher Withers & Saralees Nadarajah, 2012. "On the dependency for asymptotically independent estimates," Statistical Inference for Stochastic Processes, Springer, vol. 15(2), pages 127-132, July.
    14. C. S. Withers, 2024. "5th-Order Multivariate Edgeworth Expansions for Parametric Estimates," Mathematics, MDPI, vol. 12(6), pages 1-28, March.
    15. Mehdi Omidi & Mohsen Mohammadzadeh, 2016. "A new method to build spatio-temporal covariance functions: analysis of ozone data," Statistical Papers, Springer, vol. 57(3), pages 689-703, September.
    16. Christopher Withers & Saralees Nadarajah, 2012. "Unbiased estimates for a lognormal regression problem and a nonparametric alternative," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(2), pages 207-227, February.
    17. Withers, Christopher S. & Nadarajah, Saralees, 2019. "Moments and cumulants of the extremes of a sample from a uniform distribution," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 238-247.

    More about this item

    Keywords

    Correlation; Covariance; Transformation; Variance; 62E20;
    All these keywords.

    JEL classification:

    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:spr:stpapr:v:54:y:2013:i:2:p:443-456. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.