02325nam0 22004933i 450 VAN027774620240715031342.618N978303091695420240612d2022 |0itac50 baengCH|||| |||||Large Sample Techniques for StatisticsJiming Jiang2. edChamSpringer2022xv, 685 p.ill.24 cm001VAN00367912001 Springer texts in statistics210 Berlin [etc.]Springer1985-60-XXProbability theory and stochastic processes [MSC 2020]VANC020428MF60FxxLimit theorems in probability theory [MSC 2020]VANC024670MF60G44Martingales with continuous parameter [MSC 2020]VANC020011MF60J20Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]VANC029367MF62-XXStatistics [MSC 2020]VANC022998MF62E20Asymptotic distribution theory in statistics [MSC 2020]VANC033675MF62G20Asymptotic properties of nonparametric inference [MSC 2020]VANC033713MFApproximationsKW:KAsymptotic TheoryKW:KLarge sample theoryKW:KLimit TheoremsKW:KMathematical statisticsKW:KParametric statisticsKW:KRandom matrix theoryKW:KRandom variablesKW:KStatistical ApplicationsKW:KCHChamVANL001889JiangJimingVANV228028614598Springer <editore>VANV108073650ITSOL20240719RICAhttps://doi.org/10.1007/978-3-030-91695-4E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0277746BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-Book 8781 08eMF8781 20240618 Large sample techniques for statistics1131692UNICAMPANIA