Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Campus Bookstore, Denton, TX, Estados Unidos de America
EUR 22,51
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Devils in the Detail Ltd, Oxford, Reino Unido
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Añadir al carritoCondición: Very Good. Picture Shown is For Illustration Purposes Only, Please See Below For Further DetailsCONDITION ? VERY GOOD - PAPERBACKlight wear and scuff marks to cover, pages in nice condition, shipped from the UK.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Evergreen Goodwill, Seattle, WA, Estados Unidos de America
EUR 29,16
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Añadir al carritopaperback. Condición: Acceptable. Pages include notes, underlining, or highlighting.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 44,79
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 47,17
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 46,57
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 51,42
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 44,75
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Idioma: Inglés
Publicado por Cambridge University Press 2018-11-15, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Chiron Media, Wallingford, Reino Unido
EUR 43,28
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
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EUR 44,73
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
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EUR 51,35
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Idioma: Inglés
Publicado por Cambridge University Press CUP, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 64,13
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Añadir al carritoCondición: New. pp. 324.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 51,56
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 62,83
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Añadir al carritoPaperback. Condición: Brand New. reprint edition. 298 pages. 8.75x6.00x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Rarewaves.com UK, London, Reino Unido
EUR 47,59
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 65,04
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 47,15
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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 multiple locations in the US or from the UK, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 41,10
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Añadir al carritoPaperback. Condición: Brand New. reprint edition. 298 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Majestic Books, Hounslow, Reino Unido
EUR 62,30
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 324 This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 62,58
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 324.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: CitiRetail, Stevenage, Reino Unido
EUR 52,49
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press, 2019
ISBN 10: 1316636828 ISBN 13: 9781316636824
Librería: moluna, Greven, Alemania
EUR 49,64
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.