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Fractal approach towards power-law coherency to measure cross-correlations between time series
SYS 0473066 LBL 01000a^^22220027750^450 005 20240103213846.6 014 $a 85014923760 $2 SCOPUS 014 $a 000399513200015 $2 WOS 017 $a 10.1016/j.cnsns.2017.02.018 $2 DOI 100 $a 20170316d m y slo 03 ba 101 $a eng $d eng 102 $a NL 200 1-
$a Fractal approach towards power-law coherency to measure cross-correlations between time series 215 $a 8 s. $c P 463 -1
$1 001 cav_un_epca*0314933 $1 011 $a 1007-5704 $e 1878-7274 $1 200 1 $a Communications in Nonlinear Science and Numerical Simulation $v Roč. 50, č. 1 (2017), s. 193-200 $1 210 $c Elsevier 610 $a power-law coherency 610 $a power-law cross-correlations 610 $a correlations 700 -1
$3 cav_un_auth*0256902 $a Krištoufek $b Ladislav $i Ekonometrie $j Department of Econometrics $k E $l E $p UTIA-B $w Department of Econometrics $y CZ $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2017/E/kristoufek-0473066.pdf
Počet záznamů: 1