Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
EUR 82,00
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of wear but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 107,86
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 148,87
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 156,58
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 298 pages. 9.25x6.25x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.