LEADER 00941nam0-22003251i-450- 001 990002512810403321 010 1$a0803923104 035 $a000251281 035 $aFED01000251281 035 $a(Aleph)000251281FED01 035 $a000251281 100 $a20000920d1985----km-y0itay50------ba 101 1$aENG 200 1 $aMultivariate analysis of variance$fJames H. Bray , Scott E. Maxwell 210 $aBeverly Hills$cSage$d1985 215 $a80 p.$d22 cm 225 1 $aQuantitative applications in the social sciences$v54 610 0 $aManuali generali di consultazione 610 0 $aSerie 610 0 $aInferenza multivariata 700 1$aBray,$bJames H.$0102358 702 1$aMaxwell,$bScott E. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002512810403321 952 $aXXIX-D-39$b176$fMAS 959 $aMAS 996 $aMultivariate analysis of variance$9439517 997 $aUNINA DB $aING01 LEADER 01136nam 2200337 n 450 001 996574841603316 005 20230423185744.0 010 $a1-66541-132-5 035 $a(CKB)4100000012203960 035 $a(NjHacI)994100000012203960 035 $a(EXLCZ)994100000012203960 100 $a20230423d2021 uu 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2021 IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing (HiPar) /$fInstitute of Electrical and Electronics Engineers 210 1$aLos Alamitos, CA :$cInstitute of Electrical and Electronics Engineers,$d2021. 215 $a1 online resource (v, 41 pages) 311 $a1-66541-133-3 517 $a2021 IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing 606 $aComputer networks$vCongresses 615 0$aComputer networks 676 $a004.6 801 0$bNjHacI 801 1$bNjHacl 906 $aPROCEEDING 912 $a996574841603316 996 $a2021 IEEE$92518023 997 $aUNISA