Isbn: 9781107664647 - statistical inference as severe testing: how to get beyond the statistics wars (34 risultati)

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  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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  • Lingua: Inglese

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    paperback. Condizione: Good.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

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    Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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    Paperback. Condizione: Very Good. Statistical Inference as Severe Testing: How to Deborah G. Mayo 9781107664647. Publisher: Cambridge University Press. Year: 2018. Binding: Paperback. ISBN: 9781107664647. Seller-recorded condition for this exact active copy: Very Good. The book shows light normal handling or shelf wear. No supplementary material or usable access code is promised unless expressly stated above.

  • Lingua: Inglese

    Editore: Cambridge University Press, Cambridge, 2018

    1107664640 / 9781107664647

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    Softcover. Octavo, xvi, 486 pages. In Good condition. Spine is white with brown print. Cover is white with brown and black print. Text block has marginal note on page 447. NOTE: Shelved in Netdesk Column R. 1395510. FP New Rockville Stock.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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    Soft cover. Condizione: Fine. No Jacket. 1st Edition. Fine in Softcover. 486pp 8vo. White spine with red titles. Math.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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    Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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  • Lingua: Inglese

    Editore: Cambridge University Press 9/20/2018, 2018

    1107664640 / 9781107664647

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    Paperback or Softback. Condizione: New. Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars. Book.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

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  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

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    Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2018

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    Paperback. Condizione: New. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2018

    1107664640 / 9781107664647

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    Paperback. Condizione: New. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Cambridge University Press 2018-09-20, 2018

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  • Lingua: Inglese

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    Condizione: New. 2018. Paperback. . . . . .

  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

    1107664640 / 9781107664647

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Cambridge University Press CUP, 2018

    1107664640 / 9781107664647

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  • Lingua: Inglese

    Editore: Cambridge University Press, 2018

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  • Lingua: Inglese

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  • Lingua: Inglese

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  • Lingua: Inglese

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    Paperback. Condizione: new. Paperback. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification. This eye-opener illuminates controversies surrounding widely used statistical methods across the physical, social, and biological sciences. New solutions to philosophical problems of induction, falsification, science vs. pseudoscience are put to work to let statisticians and reproducibility researchers get beyond hardened conceptual disagreements. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

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    Kartoniert / Broschiert. Condizione: New. This eye-opener illuminates controversies surrounding widely used statistical methods across the physical, social, and biological sciences. New solutions to philosophical problems of induction, falsification, science vs. pseudoscience are put to work to let.

  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2018

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    Paperback. Condizione: New. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

  • Lingua: Inglese

    Editore: Cambridge University Pr., 2018

    1107664640 / 9781107664647

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    paperback. Condizione: Sehr gut. 504 Seiten; 9781107664647.2 Gewicht in Gramm: 1.

  • Lingua: Inglese

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

  • Lingua: Inglese

    Editore: Cambridge University Press, GB, 2018

    1107664640 / 9781107664647

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    Paperback. Condizione: New. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

  • Lingua: Inglese

    Editore: Cambridge University Press, Cambridge, 2018

    1107664640 / 9781107664647

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    Paperback. Condizione: new. Paperback. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification. This eye-opener illuminates controversies surrounding widely used statistical methods across the physical, social, and biological sciences. New solutions to philosophical problems of induction, falsification, science vs. pseudoscience are put to work to let statisticians and reproducibility researchers get beyond hardened conceptual disagreements. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.