Density estimate and its application to analysis of temperature
series

J 2003

Density estimate and its application to analysis of temperature series

HOROVÁ, Ivanka, Jiří ZELINKA, Rudolf BRÁZDIL a Marie BUDÍKOVÁ

Základní údaje

Originální název

Density estimate and its application to analysis of temperature series

Autoři

HOROVÁ, Ivanka (203 Česká republika, garant), Jiří ZELINKA (203 Česká republika), Rudolf BRÁZDIL (203 Česká republika) a Marie BUDÍKOVÁ (203 Česká republika)

Vydání

Environmetrics, Chichester, John Wiley & Sons, 2003, 1180-4009

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10101 Pure mathematics

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Odkaz na text článku na internetových stránkách časopisu Environmetrics

Impakt faktor

Impact factor: 0.598

Kód RIV

RIV/00216224:14310/03:00007953

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000180856800007

Klíčová slova anglicky

kernel estimate; visualization; air temperature; Prague-Klementinum; Central England

Štítky

Air temperature, Central England, kernel estimate, Prague-Klementinum, visualization

Změněno: 22. 6. 2009 17:09, RNDr. Marie Budíková, Dr.

Anotace

V originále

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.

Návaznosti

GA205/01/1067, projekt VaV

Název: Meteorologické extrémy a jejich dopady v Českých zemích od 16. století

Investor: Grantová agentura ČR, Meteorologické extrémy a jejich dopady v Českých zemích od 16. století

MSM 143100001, záměr

Název: Funkcionální diferenciální rovnice a matematicko-statistické modely

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Funkcionální diferenciální rovnice a matematicko-statistické modely

Citovat

HOROVÁ, Ivanka, Jiří ZELINKA, Rudolf BRÁZDIL a Marie BUDÍKOVÁ. Density estimate and its application to analysis of temperature series. Environmetrics. Chichester: John Wiley & Sons, 2003, roč. 14, č. 1, s. 87-102. ISSN 1180-4009.

@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. \textit{Environmetrics}. Chichester: John Wiley \&{} Sons, 2003, roč.~14, č.~1, s.~87-102. ISSN~1180-4009.

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