Verlag: Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Sprache: Englisch
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Verlag: Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Sprache: Englisch
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 59,03
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 272 10 Illus.
EUR 72,03
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 300 pages. 10.00x7.00x1.00 inches. In Stock.
Verlag: Cambridge University Press, 2018
ISBN 10: 1107611253 ISBN 13: 9781107611252
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 61,97
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in.
Verlag: Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Provides guidance and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.
EUR 172,60
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 300 pages. 9.50x7.25x1.00 inches. In Stock.
Verlag: Cambridge University Press, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.