01846nam0 2200409 i 450 VAN0010326420240806100722.713N978-3-319-03149-120151030d2014 |0itac50 baengCH|||| |||||Penalty, shrinkage and pretest strategiesvariable selection and estimationS. Ejaz AhmedChamSpringer2014IX, 115 p.ill.24 cm001VAN001029162001 SpringerBriefs in statistics210 Berlin [etc.]Springer2011-VAN00240627Penalty, shrinkage and pretest strategies141022862F10Point estimation [MSC 2020]VANC021207MF62F12Asymptotic properties of parametric estimators [MSC 2020]VANC030772MF62J05Linear regression; mixed models [MSC 2020]VANC023156MF62J07Ridge regression; shrinkage estimators (Lasso) [MSC 2020]VANC031204MFPenalty estimationKW:KPooling dataKW:KPretest and shrinkage estimationKW:KRegression modelsKW:KVariable SelectionKW:KCHChamVANL001889AhmedSyed EjazVANV080592721649Springer <editore>VANV108073650ITSOL20240906RICAhttp://dx.doi.org/10.1007/978-3-319-03149-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA CENTRO DI SERVIZIO SBAVAN15NVAN00103264BIBLIOTECA CENTRO DI SERVIZIO SBA15CONS SBA EBOOK 4669 15EB 4669 20191107 Penalty, shrinkage and pretest strategies1410228UNICAMPANIA