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The 2020 Election In The United States: Beta Regression Versus Regression Quantiles
SYS 0553129 LBL 01000a^^22220027750^450 005 20231122150343.7 017 $2 DOI 100 $a 20220209d m y slo 03 ba 101 $a eng 102 $a CZ 200 1-
$a The 2020 Election In The United States: Beta Regression Versus Regression Quantiles 215 $a 11 s. $c P 463 -1
$1 001 cav_un_epca*0553128 $1 010 $a 978-80-245-2429-0 $1 200 1 $a RELIK 2021. Conference Proceedings $v S. 321-331 $1 210 $a Prague $c Prague University of Economics and Business $d 2021 $1 702 1 $a Langhamrová $b J. $4 340 $1 702 1 $a Vrabcová $b J. $4 340 610 $a elections results 610 $a electoral demography 610 $a quantile regression 610 $a heteroscedasticity 610 $a outliers 700 -1
$3 cav_un_auth*0263018 $a Kalina $b Jan $p UIVT-O $i Oddělení strojového učení $j Department of Machine Learning $w Department of Machine Learning $T Ústav informatiky AV ČR, v. v. i. 856 $u https://relik.vse.cz/2021/download/pdf/380-Kalina-Jan-paper.pdf $9 RIV
Počet záznamů: 1