| HOROVÁ, Ivanka, Jiří ZELINKA, Rudolf BRÁZDIL a Marie BUDÍKOVÁ. Density estimate and its application to analysis of temperature series. Online. Environmetrics. Chichester: John Wiley & Sons, 2003, roč. 14, č. 1, s. 87-102. ISSN 1180-4009. [citováno 2024-04-23] |
Další formáty:
BibTeX
LaTeX
RIS
@article{484458,
author = {Horová, Ivanka and Zelinka, Jiří and Brázdil, Rudolf and Budíková, Marie},
article_location = {Chichester},
article_number = {1},
keywords = {kernel estimate; visualization; air temperature; Prague-Klementinum; Central England},
language = {eng},
issn = {1180-4009},
journal = {Environmetrics},
title = {Density estimate and its application to analysis of temperature series},
url = {http://www3.interscience.wiley.com/cgi-bin/fulltext?ID=102526603&PLACEBO=IE.pdf},
volume = {14},
year = {2003}
}
TY - JOUR
ID - 484458
AU - Horová, Ivanka - Zelinka, Jiří - Brázdil, Rudolf - Budíková, Marie
PY - 2003
TI - Density estimate and its application to analysis of temperature series
JF - Environmetrics
VL - 14
IS - 1
SP - 87-102
EP - 87-102
PB - John Wiley & Sons
SN - 11804009
KW - kernel estimate
KW - visualization
KW - air temperature
KW - Prague-Klementinum
KW - Central England
UR - http://www3.interscience.wiley.com/cgi-bin/fulltext?ID=102526603&PLACEBO=IE.pdf
N2 - Nonparametric density estimates attempt to reconstruct the probability density from which a random sample has come, using the sample values and as few assumptions as possible about the density. These methods are smoothing operations on the sample distribution. Methods of kernel estimates represent one of the most effective nonparametric methods. These methods are simple to understand, easy to implement and they have very good mathematical properties. We employed the automatic procedure for the selection of the bandwidth, the kernel and the order of the kernel. This procedure is used for analysis of air temperature fluctuations for series of Central England and Prague-Klementinum in the periods 1661-2000 and 1771-2000, respectively. Graphical representation of the family of estimated densities in three dimensional space provide a better explanation of the long-term trends in temperature distribution of both series.
ER -
HOROVÁ, Ivanka, Jiří ZELINKA, Rudolf BRÁZDIL a Marie BUDÍKOVÁ. Density estimate and its application to analysis of temperature series. Online. \textit{Environmetrics}. Chichester: John Wiley \&{} Sons, 2003, roč.~14, č.~1, s.~87-102. ISSN~1180-4009. [citováno 2024-04-23]
|
