ISBN: 9781032357379 - models for non-modelers: understanding the use of models for social scientists and others (27 risultati)

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  • Lingua: Inglese

    Editore: Routledge 2023-08-10, 2023

    1032357371 / 9781032357379

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  • Lingua: Inglese

    Editore: Routledge, 2023

    1032357371 / 9781032357379

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  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2023

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    Paperback. Condizione: new. Paperback. Models for Non-Modelers focuses not on how to design models but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them.This book is for non-modelers, especially social scientists. Through extensive examination of some common models both in visual and text form, this book shows these non-modellers how to understand the problems, both in the logic and implementation of such models. It includes in-depth worked examples and boxed text for more technical aspects. It does not require the reader to have in-depth mathematical knowledge. Also working through some common models in epidemiology and climate change scholarship, it examines AI and the problem of causality.This book will be suitable for graduate students and researchers in the social sciences who would like to learn more about how to assess models and the steps they need to take to apply them in their own research, as well as for those taking first courses in quantitative methods and statistical analysis for research data analysis. Models for Non-Modelers focuses not on how to design models, but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Taylor and Francis, 2023

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  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2023

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    Paperback. Condizione: New. Models for Non-Modelers focuses not on how to design models but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them.This book is for non-modelers, especially social scientists. Through extensive examination of some common models both in visual and text form, this book shows these non-modellers how to understand the problems, both in the logic and implementation of such models. It includes in-depth worked examples and boxed text for more technical aspects. It does not require the reader to have in-depth mathematical knowledge. Also working through some common models in epidemiology and climate change scholarship, it examines AI and the problem of causality.This book will be suitable for graduate students and researchers in the social sciences who would like to learn more about how to assess models and the steps they need to take to apply them in their own research, as well as for those taking first courses in quantitative methods and statistical analysis for research data analysis.…

  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2023

    1032357371 / 9781032357379

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    Paperback. Condizione: New. Models for Non-Modelers focuses not on how to design models but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them.This book is for non-modelers, especially social scientists. Through extensive examination of some common models both in visual and text form, this book shows these non-modellers how to understand the problems, both in the logic and implementation of such models. It includes in-depth worked examples and boxed text for more technical aspects. It does not require the reader to have in-depth mathematical knowledge. Also working through some common models in epidemiology and climate change scholarship, it examines AI and the problem of causality.This book will be suitable for graduate students and researchers in the social sciences who would like to learn more about how to assess models and the steps they need to take to apply them in their own research, as well as for those taking first courses in quantitative methods and statistical analysis for research data analysis.…

  • Lingua: Inglese

    Editore: Taylor and Francis, 2023

    1032357371 / 9781032357379

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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  • Lingua: Inglese

    Editore: Routledge, 2023

    1032357371 / 9781032357379

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  • Lingua: Inglese

    Editore: Routledge, 2023

    1032357371 / 9781032357379

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  • Lingua: Inglese

    Editore: Routledge, 2023

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  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2023

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  • Lingua: Inglese

    Editore: Routledge, 2023

    1032357371 / 9781032357379

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  • Lingua: Inglese

    Editore: Routledge 2023-08-10, 2023

    1032357371 / 9781032357379

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    Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

  • Lingua: Inglese

    Editore: Routledge, 2023

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  • Lingua: Inglese

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  • Lingua: Inglese

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: Routledge, 2023

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  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2023

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    Paperback. Condizione: New. Models for Non-Modelers focuses not on how to design models but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them.This book is for non-modelers, especially social scientists. Through extensive examination of some common models both in visual and text form, this book shows these non-modellers how to understand the problems, both in the logic and implementation of such models. It includes in-depth worked examples and boxed text for more technical aspects. It does not require the reader to have in-depth mathematical knowledge. Also working through some common models in epidemiology and climate change scholarship, it examines AI and the problem of causality.This book will be suitable for graduate students and researchers in the social sciences who would like to learn more about how to assess models and the steps they need to take to apply them in their own research, as well as for those taking first courses in quantitative methods and statistical analysis for research data analysis.…

  • Lingua: Inglese

    Editore: Taylor & Francis, 2023

    1032357371 / 9781032357379

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    Condizione: New. Goeran Djurfeldt is Emeritus Professor, Department of Sociology, Lund University, Sweden. He has had a long career in sociology and development studies and a career-long interest in methodological issues. He has worked with all types of m.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2023

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    Paperback. Condizione: new. Paperback. Models for Non-Modelers focuses not on how to design models but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them.This book is for non-modelers, especially social scientists. Through extensive examination of some common models both in visual and text form, this book shows these non-modellers how to understand the problems, both in the logic and implementation of such models. It includes in-depth worked examples and boxed text for more technical aspects. It does not require the reader to have in-depth mathematical knowledge. Also working through some common models in epidemiology and climate change scholarship, it examines AI and the problem of causality.This book will be suitable for graduate students and researchers in the social sciences who would like to learn more about how to assess models and the steps they need to take to apply them in their own research, as well as for those taking first courses in quantitative methods and statistical analysis for research data analysis. Models for Non-Modelers focuses not on how to design models, but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Lingua: Inglese

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    1032357371 / 9781032357379

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  • Lingua: Inglese

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    Paperback. Condizione: Brand New. 144 pages. 9.19x6.13x0.79 inches. In Stock.

  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2023

    1032357371 / 9781032357379

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    Paperback. Condizione: New. Models for Non-Modelers focuses not on how to design models but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them.This book is for non-modelers, especially social scientists. Through extensive examination of some common models both in visual and text form, this book shows these non-modellers how to understand the problems, both in the logic and implementation of such models. It includes in-depth worked examples and boxed text for more technical aspects. It does not require the reader to have in-depth mathematical knowledge. Also working through some common models in epidemiology and climate change scholarship, it examines AI and the problem of causality.This book will be suitable for graduate students and researchers in the social sciences who would like to learn more about how to assess models and the steps they need to take to apply them in their own research, as well as for those taking first courses in quantitative methods and statistical analysis for research data analysis.…

  • Lingua: Inglese

    Editore: Routledge, 2023

    1032357371 / 9781032357379

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  • Lingua: Inglese

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    1032357371 / 9781032357379

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  • Lingua: Inglese

    Editore: Routledge, 2023

    1032357371 / 9781032357379

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Models for Non-Modelers focuses not on how to design models, but on how to understand and critically appraise them. Data and statistical models are widely used in disciplines such as epidemiology, climate science and systems design, but it can be difficult for those without the necessary training to understand and implement them.…