Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Evergreen Goodwill, Seattle, WA, U.S.A.
paperback. Condizione: Acceptable. Pages include notes, underlining, or highlighting.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Campus Bookstore, Denton, TX, U.S.A.
Paperback. Condizione: Good. Ships super fast! May contain highlighting/underlining/notes/etc. May have used stickers on cover. Access codes and supplements are not guaranteed to be included with used books.F24 Ships same or next day. Expedited shipping: 3-5 business days, Standard shipping: 4-14 business days.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 45,41
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Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: California Books, Miami, FL, U.S.A.
EUR 47,80
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Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 47,19
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Lingua: Inglese
Editore: Cambridge University Press, GB, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 52,13
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Aggiungi al carrelloPaperback. Condizione: New. 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.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 47,77
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Lingua: Inglese
Editore: Cambridge University Press 2018-11-15, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Chiron Media, Wallingford, Regno Unito
EUR 43,81
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 51,35
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Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 46,80
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Lingua: Inglese
Editore: Cambridge University Press CUP, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 324.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,21
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Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 65,04
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Da: Revaluation Books, Exeter, Regno Unito
EUR 63,37
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 298 pages. 8.75x6.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Rarewaves.com UK, London, Regno Unito
EUR 48,17
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Aggiungi al carrelloPaperback. Condizione: New. 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.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 65,04
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 41,61
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 298 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Majestic Books, Hounslow, Regno Unito
EUR 64,99
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 324 This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 64,69
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 324.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: CitiRetail, Stevenage, Regno Unito
EUR 53,13
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. A new advanced text in applied statistics and methodology in the social sciences, aimed at Ph.D. students in political science, sociology, and related disciplines. The authors take an applied perspective here, emphasizing core statistical concepts, computation in R, and the tools for evaluating and interpreting statistical models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2019
ISBN 10: 1316636828 ISBN 13: 9781316636824
Da: moluna, Greven, Germania
EUR 49,64
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. A new advanced text in applied statistics and methodology in the social sciences, aimed at Ph.D. students in political science, sociology, and related disciplines. The authors take an applied perspective here, emphasizing core statistical concepts, computat.