Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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In den WarenkorbZustand: 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.
Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press CUP, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
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Verlag: Cambridge University Press 11/15/2018, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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In den WarenkorbPaperback or Softback. Zustand: New. Maximum Likelihood for Social Science 1. Book.
Verlag: Cambridge University Press, GB, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press 2018-11-15, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Sprache: Englisch
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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.
Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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ISBN 10: 1316636828 ISBN 13: 9781316636824
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 298 pages. 8.75x6.00x0.75 inches. In Stock.
Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
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Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Sprache: Englisch
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Verlag: Cambridge University Press CUP, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Sprache: Englisch
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Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
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Verlag: Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Sprache: Englisch
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