Sprache: Englisch
Verlag: Cambridge University Press, 2009
ISBN 10: 0521112435 ISBN 13: 9780521112437
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Fine.
Sprache: Englisch
Verlag: Cambridge University Press, 2009
ISBN 10: 0521112435 ISBN 13: 9780521112437
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 183,90
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521112435 ISBN 13: 9780521112437
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Gut. Zustand: Gut | Seiten: 458 | Sprache: Englisch | Produktart: Bücher | A second edition textbook explaining the basic ideas of association and regression, which takes you through the current models that link these ideas to causality.
Sprache: Englisch
Verlag: Cambridge University Press, 2009
ISBN 10: 0521112435 ISBN 13: 9780521112437
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 260,58
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Explains the basic ideas of association and regression, taking you through the current models that link these ideas to causality. Num Pages: 458 pages, 21 b/w illus. 11 tables 404 exercises. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 253 x 177 x 25. Weight in Grams: 930. . 2009. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2009
ISBN 10: 0521112435 ISBN 13: 9780521112437
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 263,00
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 456 pages. 9.50x6.70x1.10 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2009
ISBN 10: 0521112435 ISBN 13: 9780521112437
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.