Lingua: Inglese
Editore: Princeton University Press (edition ), 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: Better World Books, Mishawaka, IN, U.S.A.
Prima edizione
Condizione: Very Good. 1st Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: Bay State Book Company, North Smithfield, RI, U.S.A.
Condizione: very_good.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: Better World Books Ltd, Dunfermline, Regno Unito
Prima edizione
EUR 8,72
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: Better World Books Ltd, Dunfermline, Regno Unito
Prima edizione
EUR 8,72
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Lingua: Inglese
Editore: Princeton University Press, Princeton, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Paperback. Condizione: Very Good+. 8vo 8" - 9" tall; 346 pages; Trade size paperback in glossy illustrated covers. Bright tight and fresh; feels and appears unread. Publisher's ink stamp to front edge: "Examination Copy" -- otherwise about as new. VG++.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, Princeton, N.J, 1997
ISBN 10: 0691012415 ISBN 13: 9780691012414
Da: Dorley House Books, Inc., Hagerstown, MD, U.S.A.
Prima edizione
Hardcover. Condizione: Very Good. No Jacket. Charts, Graphs, Etc (illustratore). 1st. 1st printing; b/lack c w/gilt spine titles; 342 clean, unmarked pages/glossary/bibliography/index.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: Studibuch, Stuttgart, Germania
EUR 6,99
Quantità: 2 disponibili
Aggiungi al carrellopaperback. Condizione: Gut. 364 Seiten; 9780691012407.3 Gewicht in Gramm: 1.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
Lingua: Inglese
Editore: Princeton University Press, US, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 83,41
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique--and reliable--solution to this venerable problem. King begins with a qualitative overview, readable even by those without a statistical background.He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then presents his solution, as well as empirical evaluations of the solution that include over 16,000 comparisons of his estimates from real aggregate data to the known individual-level answer. The method works in practice. King's solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: SHIMEDIA, Brooklyn, NY, U.S.A.
Condizione: New. Satisfaction Guaranteed or your money back.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012415 ISBN 13: 9780691012414
Da: Labyrinth Books, Princeton, NJ, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 90,01
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 98,03
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Princeton University Press, US, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 89,99
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique--and reliable--solution to this venerable problem. King begins with a qualitative overview, readable even by those without a statistical background.He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then presents his solution, as well as empirical evaluations of the solution that include over 16,000 comparisons of his estimates from real aggregate data to the known individual-level answer. The method works in practice. King's solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem.
Da: Revaluation Books, Exeter, Regno Unito
EUR 121,00
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. illustrated edition. 346 pages. 9.50x6.25x1.00 inches. In Stock.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: moluna, Greven, Germania
EUR 72,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? This work begins with a quali.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: preigu, Osnabrück, Germania
EUR 75,05
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. A Solution to the Ecological Inference Problem | Reconstructing Individual Behavior from Aggregate Data | Gary King | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1997 | Princeton University Press | EAN 9780691012407 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Princeton University Press, 1997
ISBN 10: 0691012407 ISBN 13: 9780691012407
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 89,63
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique--and reliable--solution to this venerable problem.King begins with a qualitative overview, readable even by those without a statistical background. He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then presents his solution, as well as empirical evaluations of the solution that include over 16,000 comparisons of his estimates from real aggregate data to the known individual-level answer. The method works in practice.King's solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem.