Linear Regression with Non-Normal Error Terms
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Du, Jiang & Sun, Zhimeng & Xie, Tianfa, 2013. "M-estimation for the partially linear regression model under monotonic constraints," Statistics & Probability Letters, Elsevier, vol. 83(5), pages 1353-1363.
- Tumlinson, Samuel E., 2015. "On the non-existence of maximum likelihood estimates for the extended exponential power distribution and its generalizations," Statistics & Probability Letters, Elsevier, vol. 107(C), pages 111-114.
- Freeman, Mark C. & Wagner, Gernot & Zeckhauser, Richard J., 2015.
"Climate Sensitivity Uncertainty: When Is Good News Bad?,"
Working Paper Series
rwp15-002, Harvard University, John F. Kennedy School of Government.
- Mark C. Freeman & Gernot Wagner & Richard J. Zeckhauser, 2015. "Climate Sensitivity Uncertainty: When is Good News Bad?," NBER Working Papers 20900, National Bureau of Economic Research, Inc.
- Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
- Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
- Tomasz Kozubowski & Saralees Nadarajah, 2010. "Multitude of Laplace distributions," Statistical Papers, Springer, vol. 51(1), pages 127-148, January.
- Zhou, Zhou & Wu, Wei Biao, 2011. "On linear models with long memory and heavy-tailed errors," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 349-362, February.
- A. Asrat Atsedeweyn & K. Srinivasa Rao, 2014. "Linear regression model with new symmetric distributed errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(2), pages 364-381, February.
- Zeckhauser Richard, 2006.
"Investing in the Unknown and Unknowable,"
Capitalism and Society, De Gruyter, vol. 1(2), pages 1-41, September.
- Zeckhauser, Richard, 2007. "Investing in the Unknown and Unknowable," Working Paper Series rwp07-005, Harvard University, John F. Kennedy School of Government.
- Majumdar, Sumit K., 2000. "With a little help from my friends? Cross-subsidy and installed-base quality in the U.S. telecommunications industry," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 445-470, April.
- James Hansen & James McDonald & Panayiotis Theodossiou & Brad Larsen, 2010. "Partially Adaptive Econometric Methods For Regression and Classification," Computational Economics, Springer;Society for Computational Economics, vol. 36(2), pages 153-169, August.
- Sumit Majumdar, 1996. "Bandwagon Influences And Installed-Base Conversion In U.S. Telecommunications," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 4(2), pages 113-122.
- Majumdar, Sumit K., 2000. "Sluggish giants, sticky cultures, and dynamic capability transformation," Journal of Business Venturing, Elsevier, vol. 15(1), pages 59-78, January.
- Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
- Du, Jiang & Zhang, Zhongzhan & Xie, Tianfa, 2018. "A weighted M-estimator for linear regression models with randomly truncated data," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 90-94.
- Hans Dillen & Bo Stoltz, 1999. "The distribution of stock market returns and the market model," Finnish Economic Papers, Finnish Economic Association, vol. 12(1), pages 41-56, Spring.
- Hansen, James V. & McDonald, James B. & Turley, Robert S., 2006. "Partially adaptive robust estimation of regression models and applications," European Journal of Operational Research, Elsevier, vol. 170(1), pages 132-143, April.
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:tpr:restat:v:52:y:1970:i:3:p:280-86. 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: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.