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Author
Trzęsiok Joanna (Akademia Ekonomiczna im. Karola Adamieckiego w Katowicach)
Title
Adaptacyjne metody jądrowe w regresji
Adaptive Kernel Methods of Regression
Source
Prace Naukowe Akademii Ekonomicznej we Wrocławiu. Taksonomia (12), 2005, nr 1076, s. 493-500, rys., bibliogr. 7 poz.
Issue title
Klasyfikacja i analiza danych - teoria i zastosowania
Keyword
Analiza regresji
Regression analysis
Note
summ.
Abstract
W celu zilustrowania adaptacyjnych metod jądrowych w regresji przeprowadzono obliczenia na zbiorze Boston za pomocą program statystycznego R. (fragment tekstu)

In this article kernel methods for regression are presented. These methods are based on theory of local estimation when one needs to estimate an unknown function only at a single point. The methods don't need the analytic form of the model, so they are the adaptive methods. An example is given for illustration. (original abstract)
Accessibility
The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Main Library of Poznań University of Economics and Business
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Bibliography
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  1. Cherkassky V., Mulier F., Learning from Data - Concepts, Theory, and Methods, John Wiley & Sons, Inc., New York 1998.
  2. Ezekiel M., Methods of Correlation Analysis, John Wiley & Sons, Inc., 1930.
  3. Harrison D., Rubinfeld D.L., Hedonic Prices and the Demand for Clean Air, "Journal of Environmental Economics and Management" 1978, 8.
  4. Hastie T., Tibshirani R., Friedman J.H., The Elements of Statistical Learning, Springer-Verlag, New York 2001.
  5. Ruppert D., Sheather S.J., Wand M.P., An Effective Bandwidth Selector or Local Least Squares Regression, "Journal of the American Statistical Association" 1995,90, s. 1257-1270.
  6. Venables W.N., Ripley B.D., Modem Applied Statistics with S-PLUS, Springer-Verlag New York 1997.
  7. Wand M.P., Jones M.C., Kernel Smoothing, Chapman and Hall, London 1995.
Cited by
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ISSN
0324-8445
1505-9332
Language
pol
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