IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v50y2006i11p3179-3198.html
   My bibliography  Save this article

Approximate power of score test for variance heterogeneity under local alternatives in nonlinear models

Author

Listed:
  • Lin, Jin-Guan
  • Wei, Bo-cheng

Abstract

No abstract is available for this item.

Suggested Citation

  • Lin, Jin-Guan & Wei, Bo-cheng, 2006. "Approximate power of score test for variance heterogeneity under local alternatives in nonlinear models," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3179-3198, July.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:11:p:3179-3198
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(05)00143-X
    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. Chi, Eric M. & Reinsel, Gregory C., 1991. "Asymptotic properties of the score test for autocorrelation in a random effects with AR(1) errors model," Statistics & Probability Letters, Elsevier, vol. 11(5), pages 453-457, May.
    2. Epps, Thomas W & Epps, Mary Lee, 1977. "The Robustness of Some Standard Tests for Autocorrelation and Heteroskedasticity When Both Problems Are Present," Econometrica, Econometric Society, vol. 45(3), pages 745-753, April.
    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. Hrdlicková, Zuzana, 2008. "Approximation of powers of some tests in one-way MANOVA type multivariate generalized linear model," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 4059-4075, April.
    2. Jin-Guan Lin & Li-Xing Zhu & Chun-Zheng Cao & Yong Li, 2011. "Tests of heteroscedasticity and correlation in multivariate t regression models with AR and ARMA errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1509-1531, August.

    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. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    2. Wang, Wan-Lun & Fan, Tsai-Hung, 2010. "ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1328-1341, May.
    3. Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
    4. Musser, Wesley N., 1992. "A Historical Overview of Estimation of Historical Risk Coefficients," 1992 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk Meeting, March 22-25, 1992, Orlando, Florida 307862, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    5. Jin-Guan Lin & Li-Xing Zhu & Chun-Zheng Cao & Yong Li, 2011. "Tests of heteroscedasticity and correlation in multivariate t regression models with AR and ARMA errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1509-1531, August.
    6. Teodosio Perez Amaral, 1994. "Una aplicación de los contrastes M y de la matriz de información dinámica: el caso de la demanda de dinero norteamericana 1960-1984," Investigaciones Economicas, Fundación SEPI, vol. 18(1), pages 193-201, January.
    7. Xie, Feng-Chang & Lin, Jin-Guan & Wei, Bo-Cheng, 2009. "Diagnostics for skew-normal nonlinear regression models with AR(1) errors," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4403-4416, October.

    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:50:y:2006:i:11:p:3179-3198. 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.