Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
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Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: KuleliBooks, Phoenix, AZ, U.S.A.
paperback. Condition: Good. The book may have minor cosmetic wear (i.e. creased spine/cover, scratches, curled corners, folded pages, minor sunburn, minor water damage, minor bent). The book may have some highlights/notes/underlined pages - Accessories such as CD, codes, toys, may not be included - Safe and Secure Mailer - No Hassle Return.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Devils in the Detail Ltd, Oxford, United Kingdom
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Add to basketCondition: 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.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
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Published by Cambridge University Press 11/15/2018, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Maximum Likelihood for Social Science. Book.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
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Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Brit Books, Milton Keynes, United Kingdom
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Add to basketPaperback. Condition: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Best Price, Torrance, CA, U.S.A.
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Published by Cambridge University Press CUP, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 324.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 50.99
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Published by Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: 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.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
US$ 50.29
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Add to basketCondition: New. pp. 324.
Published by Cambridge University Press, GB, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 62.68
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Add to basketPaperback. Condition: 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.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 50.00
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Published by Cambridge University Press 2018-11-15, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
US$ 47.30
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Add to basketPaperback. Condition: New.
Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 49.98
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Published by Cambridge University Press, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 56.07
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Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
US$ 87.75
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Add to basketCondition: 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.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. reprint edition. 298 pages. 8.75x6.00x0.75 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
US$ 56.01
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Add to basketPaperback. Condition: 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.
Published by Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636828 ISBN 13: 9781316636824
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
US$ 74.44
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Add to basketPaperback. Condition: 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.
Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 110.67
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Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: Best Price, Torrance, CA, U.S.A.
Condition: New. SUPER FAST SHIPPING.
Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
US$ 111.10
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Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: California Books, Miami, FL, U.S.A.
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Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
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Published by Cambridge University Press, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, Cambridge, 2018
ISBN 10: 1107185823 ISBN 13: 9781107185821
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Hardcover. Condition: new. Hardcover. 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.