Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521542804 ISBN 13: 9780521542807
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521542804 ISBN 13: 9780521542807
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521542804 ISBN 13: 9780521542807
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 51,99
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521542804 ISBN 13: 9780521542807
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. This book, first published in 2004, presents social scientific methods for drawing inferences about individuals based on aggregate data. Editor(s): King, Gary; Rosen, Ori; Tanner, Martin Abba. Series: Analytical Methods for Social Research. Num Pages: 432 pages, 451 b/w illus. 54 tables. BIC Classification: JHBC; JP. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 22. Weight in Grams: 744. . 2004. Illustrated. paperback. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 75,95
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 421 pages. 10.00x7.00x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521542804 ISBN 13: 9780521542807
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference.