Isbn: 9781009606028 - Quantile Modeling for Political Research (elements in Quantitative and Computational Methods for the Social Sciences) (14 results)

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  • Language: English

    Published by Cambridge University Press 7/30/2026, 2026

    1009606026 / 9781009606028

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    Paperback or Softback. Condition: New. Quantile Modeling for Political Research. Book.

  • Language: English

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  • Language: English

    Published by Cambridge University Press, GB, 2026

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  • Language: English

    Published by Cambridge University Press, 2026

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  • Language: English

    Published by Cambridge University Press, 2026

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  • Language: English

    Published by Cambridge University Press, 2026

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  • Language: English

    Published by Cambridge University Press, 2026

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  • Language: English

    Published by Cambridge University Press, Cambridge, 2026

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    Paperback. Condition: new. Paperback. Quantile models are widely used across the natural and social sciences to analyze heterogeneous phenomena that conventional mean-based approaches often obscure. Yet, despite their growing importance in many disciplines, their adoption in political science has remained comparatively limited, in part because the field still lacks an accessible introduction tailored to its substantive questions and empirical practices. This Element addresses that gap by showing how quantile models can expand the methodological repertoire of political science and deepen our understanding of political phenomena. Combining methodological innovation with practical guidance, this Element introduces quantile models for both continuous and discrete response variables and illustrates their use with real-world political examples. All empirical applications are accompanied by publicly available data, code, and software, making the Element a useful resource for both teaching and research. This title is also available as Open Access on Cambridge Core. The integration of quantile models in political science has been limited due to the lack of introductions to and refinement of methods tailored for the discipline. This Element aims to facilitate an incorporation of quantile models into the analytical toolkit of political scientists. This title is also available as Open Access on Cambridge Core. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Language: English

    Published by Cambridge University Press, GB, 2026

    1009606026 / 9781009606028

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  • Language: English

    Published by Cambridge University Press, Cambridge, 2026

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    Paperback. Condition: new. Paperback. Quantile models are widely used across the natural and social sciences to analyze heterogeneous phenomena that conventional mean-based approaches often obscure. Yet, despite their growing importance in many disciplines, their adoption in political science has remained comparatively limited, in part because the field still lacks an accessible introduction tailored to its substantive questions and empirical practices. This Element addresses that gap by showing how quantile models can expand the methodological repertoire of political science and deepen our understanding of political phenomena. Combining methodological innovation with practical guidance, this Element introduces quantile models for both continuous and discrete response variables and illustrates their use with real-world political examples. All empirical applications are accompanied by publicly available data, code, and software, making the Element a useful resource for both teaching and research. This title is also available as Open Access on Cambridge Core. The integration of quantile models in political science has been limited due to the lack of introductions to and refinement of methods tailored for the discipline. This Element aims to facilitate an incorporation of quantile models into the analytical toolkit of political scientists. This title is also available as Open Access on Cambridge Core. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Language: English

    Published by Cambridge University Press, 2026

    1009606026 / 9781009606028

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    Paperback. Condition: Brand New. 75 pages. 6.00x0.20x9.00 inches. In Stock. This item is printed on demand.

  • Language: English

    Published by Cambridge University Press, 2026

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  • Language: English

    Published by Cambridge University Press, 2026

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  • Language: English

    Published by Cambridge University Press, Cambridge, 2026

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    Paperback. Condition: new. Paperback. Quantile models are widely used across the natural and social sciences to analyze heterogeneous phenomena that conventional mean-based approaches often obscure. Yet, despite their growing importance in many disciplines, their adoption in political science has remained comparatively limited, in part because the field still lacks an accessible introduction tailored to its substantive questions and empirical practices. This Element addresses that gap by showing how quantile models can expand the methodological repertoire of political science and deepen our understanding of political phenomena. Combining methodological innovation with practical guidance, this Element introduces quantile models for both continuous and discrete response variables and illustrates their use with real-world political examples. All empirical applications are accompanied by publicly available data, code, and software, making the Element a useful resource for both teaching and research. This title is also available as Open Access on Cambridge Core. The integration of quantile models in political science has been limited due to the lack of introductions to and refinement of methods tailored for the discipline. This Element aims to facilitate an incorporation of quantile models into the analytical toolkit of political scientists. This title is also available as Open Access on Cambridge Core. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…