Zobrazeno 1 - 10
of 11
pro vyhledávání: '"K. F. Turkman"'
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 19, Pp 1459-1470 (2019)
Portugal is recurrently affected by large wildfire events that have serious impacts at the socio-economic and environmental levels and dramatic consequences associated with the loss of lives and the destruction of the landscape. Accordingly, seasonal
Externí odkaz:
https://doaj.org/article/624b0b1d109a474e94c7fcc8747748c8
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 18, Pp 515-529 (2018)
We present a procedure that allows the operational generation of daily forecasts of fire danger over Mediterranean Europe. The procedure combines historical information about radiative energy released by fire events with daily meteorological forec
Externí odkaz:
https://doaj.org/article/10510083dbb440709aa29ae94e850b31
Publikováno v:
Journal of Time Series Analysis. 24:579-590
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d87bc732dd3505654757448e7a7f114f
https://doi.org/10.1111/1467-9892.t01-1-00320
https://doi.org/10.1111/1467-9892.t01-1-00320
Autor:
K. F. Turkman, M. F. Oliveira
Publikováno v:
Journal of Applied Probability. 29:222-227
We extend the results on the extremal properties of chain-dependent sequences considered in Turkman and Walker (1983) by assuming conditions similar to those given by Leadbetter and Nandagopalan (1987) which permit clustering of high values.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed7c42a624cde026a63d19ac0d4113b9
https://doi.org/10.1017/s0021900200106795
https://doi.org/10.1017/s0021900200106795
Autor:
K. F. Turkman, C. W. Anderson
Publikováno v:
Journal of Applied Probability. 28:33-44
The joint limiting distribution of suitably normalized partial sums and maxima in a stationary strong mixing sequence with finite variance is derived. It is found that in the limit the two components are independent. This generalizes Chow and Teugels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cef4f0ff5d3639d3c599bf6fc89c9b87
https://doi.org/10.1017/s0021900200039401
https://doi.org/10.1017/s0021900200039401
Publikováno v:
Novartis Foundation symposium. 220
In environmental studies attention increasingly focuses on identification of spatial extremes: locations with observations that are apparently higher than either a preset background threshold or neighbouring observations. We consider various procedur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0b04a453bf15f608f635b9d4be84952d
https://pubmed.ncbi.nlm.nih.gov/10231823
https://pubmed.ncbi.nlm.nih.gov/10231823
Publikováno v:
Journal of the Royal Statistical Society. Series A (Statistics in Society). 159:620
2. Statistics for the Environment. Edited by V. Barnett and K. F. Turkman. ISBN 0 471 93467 4. Wiley, Chichester, 1993. xx + 428 pp. £49.95.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b23544296def8c151641aabace741f49
https://doi.org/10.2307/2983338
https://doi.org/10.2307/2983338
Publikováno v:
Journal of the Royal Statistical Society. Series A (Statistics in Society). 159:179
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::debfca126d6f260dd95bdd31419460a6
https://doi.org/10.2307/2983480
https://doi.org/10.2307/2983480
Autor:
K. F. Turkman, A. M. Walker
Publikováno v:
Journal of Applied Probability. 20:814-821
A class of quasi-stationary sequences of random variables is introduced. After giving the definition, it is shown that the limiting distributions of the maxima of such sequences, when suitably normalized, converge to one of the three extreme-value di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ac03dd1510a47e8f082d6e6d83e4e96
https://doi.org/10.2307/3213592
https://doi.org/10.2307/3213592
Autor:
K. F. Turkman, A. M. Walker
Publikováno v:
Advances in Applied Probability. 16:819-842
Let {ε t, t = 1, 2, ···, n} be a sequence of mutually independent standard normal random variables. Let X n(λ) and Y n(λ) be respectively the real and imaginary parts of exp iλ t, and let . It is shown that as n tends to∞, the distribution f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::180d57894522060876d8a58ea117d2ee
https://doi.org/10.1017/s0001867800022953
https://doi.org/10.1017/s0001867800022953