IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v45y2004i2p175-190.html
   My bibliography  Save this article

New biased estimators under the LINEX loss function

Author

Listed:
  • Fikri Akdeniz

Abstract

No abstract is available for this item.

Suggested Citation

  • Fikri Akdeniz, 2004. "New biased estimators under the LINEX loss function," Statistical Papers, Springer, vol. 45(2), pages 175-190, April.
  • Handle: RePEc:spr:stpapr:v:45:y:2004:i:2:p:175-190
    DOI: 10.1007/BF02777222
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02777222
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02777222?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. Michael Cain & Christian Janssen, 1995. "Real estate price prediction under asymmetric loss," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 47(3), pages 401-414, September.
    2. Kadiyala, Krishna, 1984. "A class of almost unbiased and efficient estimators of regression coefficients," Economics Letters, Elsevier, vol. 16(3-4), pages 293-296.
    3. Wan, Alan T. K. & Kurumai, Hiroko, 1999. "An iterative feasible minimum mean squared error estimator of the disturbance variance in linear regression under asymmetric loss," Statistics & Probability Letters, Elsevier, vol. 45(3), pages 253-259, 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. Luis Mendo, 2012. "Estimation of a probability in inverse binomial sampling under normalized linear-linear and inverse-linear loss," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 656-675, December.
    2. Esra Akdeniz Duran & Fikri Akdeniz, 2012. "Efficiency of the modified jackknifed Liu-type estimator," Statistical Papers, Springer, vol. 53(2), pages 265-280, May.

    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. Wan, Alan T. K. & Zou, Guohua & Lee, Andy H., 2000. "Minimax and [Gamma]-minimax estimation for the Poisson distribution under LINEX loss when the parameter space is restricted," Statistics & Probability Letters, Elsevier, vol. 50(1), pages 23-32, October.
    2. Qin, Huaizhen & Ouyang, Weiwei, 2016. "Asymmetric risk of the Stein variance estimator under a misspecified linear regression model," Statistics & Probability Letters, Elsevier, vol. 116(C), pages 94-100.
    3. Özkale, M. Revan, 2008. "A jackknifed ridge estimator in the linear regression model with heteroscedastic or correlated errors," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3159-3169, December.
    4. Georgios Tsiotas, 2022. "Regression Analysis Using Asymmetric Losses: A Bayesian Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 311-327, June.
    5. Wan, Alan T. K. & Kurumai, Hiroko, 1999. "An iterative feasible minimum mean squared error estimator of the disturbance variance in linear regression under asymmetric loss," Statistics & Probability Letters, Elsevier, vol. 45(3), pages 253-259, November.
    6. Ashok V. Dorugade, 2014. "A Modified Two-Parameter Estimator in Linear Regression," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(1), pages 23-36, January.
    7. Čížek, Pavel, 2004. "(Non) Linear Regression Modeling," Papers 2004,11, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    8. Ohtani, Kazuhiro, 2001. "MSE dominance of the pre-test iterative variance estimator over the iterative variance estimator in regression," Statistics & Probability Letters, Elsevier, vol. 54(3), pages 331-340, October.
    9. Michael Cain, 1996. "Note: Normal prediction under linear‐quadratic loss," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(6), pages 917-927, September.

    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:45:y:2004:i:2:p:175-190. 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.