HOROVÁ, Ivanka, Jan KOLÁČEK and Dagmar LAJDOVÁ. Kernel Regression Model for Total Ozone Data. Journal of Environmental Statistics. 2013, roč. 4, No 2, p. 1-12. ISSN 1945-1296.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Kernel Regression Model for Total Ozone Data
Authors HOROVÁ, Ivanka (203 Czech Republic, guarantor, belonging to the institution), Jan KOLÁČEK (203 Czech Republic, belonging to the institution) and Dagmar LAJDOVÁ (203 Czech Republic, belonging to the institution).
Edition Journal of Environmental Statistics, 2013, 1945-1296.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10101 Pure mathematics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14310/13:00067461
Organization unit Faculty of Science
Keywords in English total ozone; kernel; bandwidth selection
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Jan Koláček, Ph.D., učo 19999. Changed: 15/3/2013 13:50.
Abstract
The present paper is focused on an analysis of total ozone data from Dobson spectrophotometer operating at the Vernadsky station, the British Antarctic Survey (BAS), former Faraday station. The data sets were processed as time points measuring amount of ozone. In order to analyze such data we propose a kernel regression method. Kernel methods represent one of the most effective nonparametric methods. But there is a serious difficulty connected with them -- the choice of a smoothing parameter called a bandwidth. In the case of independent observations the literature on bandwidth selection methods is quite extensive. However, if the observations are dependent, then classical bandwidth selectors have not always provided applicable results. There exist several possibilities for overcoming the effect of dependence on bandwidth selection. In the present paper we use the results of Chu, Marron (1991) and Kolacek (2008) and develop two methods for the bandwidth choice. We apply the above mentioned methods to the time series of ozone data. All discussed methods are implemented in Matlab.
PrintDisplayed: 9/8/2024 05:15