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The paper presents analysis of the domain name reservation process for the polish .pl domain. Two models of various time scale are constructed and finally combined to build long range high resolution model. The results of prediction are verified using real data.
Słowa kluczowe
Rocznik
Tom
Strony
63--73
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
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autor
autor
autor
autor
- Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska st 15/19, 00-665 Warsaw, Poland, parabas@ia.pw.edu.pl
Bibliografia
- [1] M. Mueller, “Toward an economics of the domain name system”, in Handbook of Telecommunications Economics: Technology Evolution and the Internet, M. E. Cave, S. K. Majumdar, and I. Vogelsang Eds., vol. 2, North-Holland, 2005, pp. 443–487.
- [2] M. Jindra, “The market for Internet domain names”, in Proc. 16th ITS Regional Conf., Porto, Portugal, 2005 [Online]. Available: http://userpage.fu-berlin.de/_jmueller/its/conf/porto05/papers/Jindra.pdf, accessed 12.08.2011.
- [3] “The Secondary Market For Domain Names”, OECD Report DSTI/ICCP/TISP(2005)9/FINAL, 2005.
- [4] M. Zook, “Study of the Factors Behind the Demand for Country Code Domain Names”, ZookNIC Internet Intelligence [Online]. Available: http://www.aptld.org/pdf/APTLD-Bangkok-07-Report-FINAL.pdf, 2007, accessed: 12.08.2011.
- [5] P. Salvador and A. Nogueira, “Analysis of the Internet domain names re-registration market”, Procedia Comp. Science, p. 325–335, 2011.
- [6] K. Lasota and K. Kozakiewicz, “Analysis of the similarities in malicious DNS domain names”, Commun. Computer Inform. Sci., vol. 187, pp. 1–6, Springer, 2011.
- [7] J. Wu, X. Li, X. Wang, and B. Yan, “DNS usage mining and its two applications”, in Proc. Sixth Int. Conf. Digit. Inform. Manag. ICDIM 2011, Melbourne, Australia, 2011, pp. 54–60.
- [8] T. Lindenthal, “Valuable Words: Pricing Internet Domains”, Social Science Research Network, July 14, 2011 [Online]. Available: http://ssrn.com/abstract=1885465, accessed 09.01.2012.
- [9] A. Tajirian, “Statistical Models for Market Approach to Domain Name Valuation”, 2010 [Online]. Available: http://www.domainmart.com/news/Statistical Models for Market Approach to Domain Name Value.pdf, accessed 09.01.2012.
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- [13] J. Haywood and J. Randal, “Modelling seasonality and multiple structural breaks. Did 9/11 affect visitor arrivals to NZ?”, Research report 08/10, University of Wellington, New Zealand 2008 [Online]. Available: http://msor.victoria.ac.nz/twiki/pub/Main/ResearchReportSeries/mscs08-10.pdf, accessed 12.08.2011.
- [14] M. K. Francke, “Repeat Sales Index for Real Estate Prices: a Structural Time Series Approach”, Technical Working paper 2009-0, Ortec Finance Research Center, 2009.
- [15] D. A. Pierce, “A survey of recent developments in seasonal adjustment”, The American Statistician, vol. 34, no. 3, 1980.
- [16] Ch. I. Plosser, “A time series analysis of seasonality in econometric models”, in Seasonal Analysis of Economic Time Series, A. Zellner, Ed. NBER, 1979, pp. 365–410.
- [17] B. Sheharyar and D. Geltner. “Estimating real estate price movements for high frequency tradable indexes in a scarce data environment”, The Journal of Real Estate Finance and Economics, 2010 [Online]. Available: http://www.springerlink.com/content/uxl087168u781086/, accesed: 09.08.2011.
- [18] L. Ferrara and D. Guagan, “Fractional seasonality: Models and Application to Economic Activity in the Euro Area”, Working paper, Eurostat 2006 [Online]. Available: http://epp.eurostat.ec.europa.eu, accessed 12.08.2011.
- [19] R. B. Cleveland, W. S. Cleveland, J. E. McRae, and I. Terpenning, “STL: a seasonal trend decomposition procedure based on loes”, J. Official Statistics, vol. 6, no. 1, pp. 3–73, 1990.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATA-0016-0008