LEADER 02325nam0 22004933i 450 001 VAN0277746 005 20240715031342.618 017 70$2N$a9783030916954 100 $a20240612d2022 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aLarge Sample Techniques for Statistics$fJiming Jiang 205 $a2. ed 210 $aCham$cSpringer$d2022 215 $axv, 685 p.$cill.$d24 cm 410 1$1001VAN0036791$12001 $aSpringer texts in statistics$1210 $aBerlin [etc.]$cSpringer$d1985- 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a60Fxx$xLimit theorems in probability theory [MSC 2020]$3VANC024670$2MF 606 $a60G44$xMartingales with continuous parameter [MSC 2020]$3VANC020011$2MF 606 $a60J20$xApplications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]$3VANC029367$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62E20$xAsymptotic distribution theory in statistics [MSC 2020]$3VANC033675$2MF 606 $a62G20$xAsymptotic properties of nonparametric inference [MSC 2020]$3VANC033713$2MF 610 $aApproximations$9KW:K 610 $aAsymptotic Theory$9KW:K 610 $aLarge sample theory$9KW:K 610 $aLimit Theorems$9KW:K 610 $aMathematical statistics$9KW:K 610 $aParametric statistics$9KW:K 610 $aRandom matrix theory$9KW:K 610 $aRandom variables$9KW:K 610 $aStatistical Applications$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aJiang$bJiming$3VANV228028$0614598 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240719$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-91695-4$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0277746 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-Book 8781 $e08eMF8781 20240618 996 $aLarge sample techniques for statistics$91131692 997 $aUNICAMPANIA