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Heteroscedasticity diagnostics for t linear regression models


  • Jin-Guan Lin


  • Li-Xing Zhu
  • Feng-Chang Xie


No abstract is available for this item.

Suggested Citation

  • Jin-Guan Lin & Li-Xing Zhu & Feng-Chang Xie, 2009. "Heteroscedasticity diagnostics for t linear regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 70(1), pages 59-77, June.
  • Handle: RePEc:spr:metrik:v:70:y:2009:i:1:p:59-77
    DOI: 10.1007/s00184-008-0179-2

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    References listed on IDEAS

    1. Diblasi, Angela & Bowman, Adrian, 1997. "Testing for constant variance in a linear model," Statistics & Probability Letters, Elsevier, vol. 33(1), pages 95-103, April.
    2. Bo-Cheng Wei & Jian-Qing Shi & Wing-Kam Fung & Yue-Qing Hu, 1998. "Testing for Varying Dispersion in Exponential Family Nonlinear Models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 50(2), pages 277-294, June.
    3. Barroso, LĂșcia P. & Cordeiro, Gauss M., 2005. "Bartlett corrections in heteroskedastic t regression models," Statistics & Probability Letters, Elsevier, vol. 75(2), pages 86-96, November.
    4. Jin-Guan Lin & Bo-Cheng Wei & Nan-Song Zhang, 2004. "Varying Dispersion Diagnostics for Inverse Gaussian Regression Models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(10), pages 1157-1170.
    5. Cysneiros, Francisco José A. & Paula, Gilberto A. & Galea, Manuel, 2007. "Heteroscedastic symmetrical linear models," Statistics & Probability Letters, Elsevier, vol. 77(11), pages 1084-1090, June.
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    Cited by:

    1. Jin-Guan Lin & Ji Chen & Yong Li, 2012. "Bayesian Analysis of Student t Linear Regression with Unknown Change-Point and Application to Stock Data Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 40(3), pages 203-217, October.
    2. Yan-Yong Zhao & Jin-Guan Lin & Xing-Fang Huang, 2016. "Nonparametric estimation in generalized varying-coefficient models based on iterative weighted quasi-likelihood method," Computational Statistics, Springer, vol. 31(1), pages 247-268, March.
    3. repec:eee:csdana:v:56:y:2012:i:12:p:4204-4214 is not listed on IDEAS


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