Algebraic bounds on standardized sample moments
Author
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:
- Ximing Wu & Thanasis Stengos, 2005.
"Partially adaptive estimation via the maximum entropy densities,"
Econometrics Journal, Royal Economic Society, vol. 8(3), pages 352-366, December.
- Thanasis Stengos & Ximing Wu, 2005. "Partially Adaptive Estimation via Maximum Entropy Densities," University of Cyprus Working Papers in Economics 6-2005, University of Cyprus Department of Economics.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024.
"A note on the determinants of NFTs returns,"
Discussion Paper Series
2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
- Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Working Paper series 24-07, Rimini Centre for Economic Analysis.
- Yiguo Sun & Thanasis Stengos, 2008.
"The absolute health income hypothesis revisited: a semiparametric quantile regression approach,"
Empirical Economics, Springer, vol. 35(2), pages 395-412, September.
- Thanasis Stengos & Yiguo Sun, 2005. "The Absolute Health Income Hypothesis Revisited : A Semiparametric Quantile Regression Approach," University of Cyprus Working Papers in Economics 7-2005, University of Cyprus Department of Economics.
- Yiguo Sun & Thanasis Stengos, 2007. "The absolute health income hypothesis revisited: A Semiparametric Quantile Regression Approach," Working Paper series 23_07, Rimini Centre for Economic Analysis.
- Thanasis Stengos & Yiguo Sun, 2006. "The absolute health income hypothesis revisited: A Semiparametric Quantile Regression Approach," Working Papers 0606, University of Guelph, Department of Economics and Finance.
- Kylie-Anne Richards & Gareth W. Peters & William Dunsmuir, 2012. "Heavy-Tailed Features and Empirical Analysis of the Limit Order Book Volume Profiles in Futures Markets," Papers 1210.7215, arXiv.org, revised Apr 2015.
- Wu, Ximing & Perloff, Jeffrey M., 2007.
"Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt6bm6n30x, Department of Agricultural & Resource Economics, UC Berkeley.
- Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9vd036zx, Department of Agricultural & Resource Economics, UC Berkeley.
- Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Institute for Research on Labor and Employment, Working Paper Series qt6bm6n30x, Institute of Industrial Relations, UC Berkeley.
- Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Institute for Research on Labor and Employment, Working Paper Series qt9vd036zx, Institute of Industrial Relations, UC Berkeley.
- Wu, Ximing & Perloff, Jeffrey M., 2005.
"GMM Estimation of a Maximum Distribution With Interval Data,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt7jf5w1ht, Department of Agricultural & Resource Economics, UC Berkeley.
- Wu, Ximing & Perloff, Jeffrey M., 2005. "GMM Estimation of a Maximum Distribution With Interval Data," Institute for Research on Labor and Employment, Working Paper Series qt7jf5w1ht, Institute of Industrial Relations, UC Berkeley.
- Thanasis Stengos & Ximing Wu, 2010.
"Information-Theoretic Distribution Test with Application to Normality,"
Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 307-329.
- Thanasis Stengos & Ximing Wu, 2006. "Information-Theoretic Distribution Test with Application to Normality," University of Cyprus Working Papers in Economics 3-2006, University of Cyprus Department of Economics.
- Thanasis Stengos & Ximing Wu, 2006. "Information-Theoretic Distribution Test with Application to Normality," Working Papers 0604, University of Guelph, Department of Economics and Finance.
- Thanasis Stengos & Ximing Wu†, 2007. "Information-Theoretic Distribution Test with Application to Normality," Working Paper series 24_07, Rimini Centre for Economic Analysis.
- Emmanuel Jurczenko & Bertrand Maillet & Paul Merlin, 2008. "Efficient Frontier for Robust Higher-order Moment Portfolio Selection," Post-Print halshs-00336475, HAL.
More about this item
Keywords
finite populations skewness kurtosis;Statistics
Access and download statisticsCorrections
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:stapro:v:5:y:1987:i:5:p:329-331. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.