General model multivariate analysis (18 résultats)

Trade Paperback. Etat : Good. No Jacket. 280 pgs. Used with highlighting, sticker, name on edges. Bargain reading copy offered for content.

Etat : Fair. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: reprint ] Publisher: Holt, Rinehart and Winston Pub Date: 1/1/1974 Binding: hardcover Pages: 423 reprint edition.

Etat : Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:0582300347.…

gebundene Ausgabe. Etat : Gut. 423 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann entsprechende Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.). Aufgrund des Alters und der häufigen Nutzung können Stabilität, Einband sowie Papierqualität beeinträchtigt sein. Es wurde mit dem Werk gearbeitet, daher trägt das Buch viele Markierungen/Notizen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 870.…

gebundene Ausgabe. Etat : Gut. 423 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 860. …

Soft cover. Etat : Very Good. No Jacket. paperback, 280 pages, name to flyleaf, pages browned otherwise very good. We are a real bookshop with real books situated in and shipping from the United Kingdom. Shelf N34.

Soft cover. Etat : Very Good. Etat de la jaquette : No Jacket as Issued. First Paper Back Edition. Very Good With An Owners Name To The Fep Pp 280 Index Charts And Diagrams.

Etat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Trade Paperback. Etat : Very Good+. 280 pp. Prev owner's name on ffep. Corners bumped. A primer on the general linear model.

Soft cover. Etat : Very Good. Trade paperback in very good condition.

Etat : New.

Paperback. Etat : New.

Etat : New. In English.

paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some wear and internal barcode may have been clipped, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book 'Bayesian analysis: general framework' deals with Bayesian inference within the framework of four stochastic models: the normal random sample, the Gauss-Markov model, the beta-binomial model and the Poisson-gamma model. For each of these models, analytic expressions are presented for the posterior PDF, the prior predictive PDF and the posterior predictive PDF, under the Laplace prior PDF, the Jeffreys prior PDF and the conjugate prior PDF. Topics such as the elicitation of hyper-parameter for the conjugate prior PDF, the selection of models and prediction in multivariate regression analysis and the use of the Bayes factor in the test of hypothesis are dealt with more detail.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book 'Bayesian Analysis: General Framework' deals with Bayesian inference within the framework of four stochastic models: the normal random sample, the Gauss-Markov model, the beta-binomial model and the Poisson-gamma model. For each of these models, analytic expressions are presented for the posterior PDF, the prior predictive PDF and the posterior predictive PDF, under the Laplace prior PDF, the Jeffreys prior PDF and the conjugate prior PDF. Topics such as the elicitation of hyper-parameter for the conjugate prior PDF, the selection of models and prediction in multivariate regression analysis and the use of the Bayes factor in the test of hypothesis are dealt with more detail.…