Verlag: Princeton University Press, 2014
ISBN 10: 0691145326 ISBN 13: 9780691145327
Sprache: Englisch
Anbieter: Labyrinth Books, Princeton, NJ, USA
Zustand: New.
Verlag: Princeton University Press, 2014
ISBN 10: 0691145326 ISBN 13: 9780691145327
Sprache: Englisch
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Verlag: Princeton University Press, 2014
ISBN 10: 0691145326 ISBN 13: 9780691145327
Sprache: Englisch
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 55,61
Anzahl: 2 verfügbar
In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Verlag: Princeton University Press, 2014
ISBN 10: 0691145326 ISBN 13: 9780691145327
Sprache: Englisch
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. This book advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. Series: The Econometric and Tinbergen Institutes Lectures. Num Pages: 224 pages, 66 line illus. BIC Classification: PBTB. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 151 x 217 x 22. Weight in Grams: 412. . 2014. Hardcover. . . . . Books ship from the US and Ireland.
Gebunden. Zustand: New. Reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. This book advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible d.
Verlag: Princeton University Press Apr 2014, 2014
ISBN 10: 0691145326 ISBN 13: 9780691145327
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - 'Peter Rossi, an expert on Bayesian analysis, presents a crisp introduction to an increasingly important class of models and their use in econometric applications.'--Andrew Gelman, Columbia University.