This is a unified presentation of a variety of computational algorithms used in likelihood and Bayesian inference. In this second edition, Martin Tanner has taken the opportunity to expand the treatment of many of the techniques discussed, to devote more space to comparing the methods covered, and to describe the applications in more detail. Topics covered include: maximum likelihood, Monte Carlo methods, the EM algorithm, data augmentation techniques, imputation methods, the Gibbs sampler, the Metropolis algorithm, and the griddy Gibbs sampler. The reader is assumed to have a reasonable basic background in statistics as might be gained in the first year of a graduate course, but otherwise the book is self-contained. As a result, the book will provide a survey of the fast-moving area of statistics for research statisticians and for other researchers and graduate students whose research touches on these techniques.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Solr Books, Lincolnwood, IL, Etats-Unis
Etat : very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear. N° de réf. du vendeur BCV.3540940316.VG
Quantité disponible : 1 disponible(s)
Vendeur : Die Wortfreunde - Antiquariat Wirthwein Matthias Wirthwein, Mannheim, Allemagne
OPp, gebundene Ausgabe. Etat : Sehr gut. 2. ed. IX, 156 S. : graph. Darst. ; 24 cm Deckelinnenseite mit Besitzernamen, sonst sehr gutes Exemplar, sieht kaum oder nicht gelesen aus. No shipping to other EU countries due to the EU Packaging and Packaging Waste Regulation (PPWR), which entered into force on August 12, 2026. Sprache: Englisch Gewicht in Gramm: 450. N° de réf. du vendeur 74166
Quantité disponible : 1 disponible(s)
Vendeur : Buchpark, Trebbin, Allemagne
Etat : Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. N° de réf. du vendeur 41668190/203
Quantité disponible : 1 disponible(s)