LEADER 01681nam 2200529 450 001 996466409803316 005 20230616145035.0 010 $a3-030-80065-2 035 $a(CKB)5470000001298882 035 $a(MiAaPQ)EBC6796340 035 $a(Au-PeEL)EBL6796340 035 $a(OCoLC)1286428618 035 $a(PPN)25830023X 035 $a(EXLCZ)995470000001298882 100 $a20220721d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHigh-dimensional covariance matrix estimation $ean introduction to random matrix theory /$fAygul Zagidullina 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (123 pages) 225 1 $aSpringerBriefs in Applied Statistics and Econometrics 311 $a3-030-80064-4 410 0$aSpringerBriefs in applied statistics and econometrics. 606 $aRandom matrices 606 $aAsymptotic efficiencies (Statistics) 606 $aMultivariate analysis 606 $aMatrius aleatòries$2thub 606 $aAnàlisi multivariable$2thub 608 $aLlibres electrònics$2thub 615 0$aRandom matrices. 615 0$aAsymptotic efficiencies (Statistics) 615 0$aMultivariate analysis. 615 7$aMatrius aleatòries 615 7$aAnàlisi multivariable 676 $a512.9434 700 $aZagidullina$b Aygul$01071981 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466409803316 996 $aHigh-Dimensional Covariance Matrix Estimation$92568135 997 $aUNISA