000711155 000__ 02666cam\a2200457\i\4500
000711155 001__ 711155
000711155 005__ 20211103130132.0
000711155 006__ m\\\\\o\\d\\\\\\\\
000711155 007__ cr\cn\nnnunnun
000711155 008__ 141104t20142014njua\\\\ob\\\\001\0\eng\d
000711155 020__ $$a9781400850303$$q(electronic book)
000711155 020__ $$z9780691145327
000711155 035__ $$a(OCoLC)ocn875686973
000711155 035__ $$a(CaPaEBR)ebr10853263
000711155 035__ $$a(MiAaPQ)EBC1584941
000711155 035__ $$a711155
000711155 040__ $$aCaPaEBR$$beng$$erda$$epn$$cCaPaEBR
000711155 05014 $$aHB139$$b.R64 2014eb
000711155 08204 $$a330.01/519542$$223
000711155 1001_ $$aRossi, Peter E.$$q(Peter Eric),$$d1955-$$eauthor.
000711155 24510 $$aBayesian non- and semi-parametric methods and applications /$$cPeter E. Rossi.
000711155 264_1 $$aPrinceton, New Jersey ;$$aOxfordshire, England :$$bPrinceton University Press,$$c2014.
000711155 264_4 $$c©2014
000711155 300__ $$a1 online resource (219 pages) :$$billustrations.
000711155 336__ $$atext$$2rdacontent
000711155 337__ $$acomputer$$2rdamedia
000711155 338__ $$aonline resource$$2rdacarrier
000711155 4901_ $$aEconometric and Tinbergen Institutes Lectures
000711155 504__ $$aIncludes bibliographical references and index.
000711155 506__ $$aAccess limited to authorized users.
000711155 520__ $$aThis book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number.
000711155 588__ $$aDescription based on print version record.
000711155 650_0 $$aEconometrics.
000711155 650_0 $$aBayesian statistical decision theory.
000711155 650_0 $$aEconomics, Mathematical.
000711155 77608 $$iPrint version:$$aRossi, Peter E. (Peter Eric), 1955-$$tBayesian non- and semi-parametric methods and applications.$$dPrinceton : Princeton University Press, [2014]$$z9780691145327$$w(DLC) 2013038609$$w(OCoLC)859168674
000711155 830_0 $$aEconometric and Tinbergen Institutes lectures.
000711155 8520_ $$bacq
000711155 85280 $$bebk$$hProQuest Ebook Central
000711155 85280 $$bebk$$hProQuest Ebook Central Academic Complete
000711155 85640 $$3ProQuest Ebook Central$$uhttps://univsouthin.idm.oclc.org/login?url=http://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1584941$$zOnline Access
000711155 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=http://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1584941$$zOnline Access
000711155 909CO $$ooai:library.usi.edu:711155$$pGLOBAL_SET
000711155 980__ $$aEBOOK$$aEBOOK
000711155 980__ $$aBIB
000711155 982__ $$aEbook
000711155 983__ $$aOnline