Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 22,93
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Añadir al carritoCondición: Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: Second Story Books, ABAA, Rockville, MD, Estados Unidos de America
EUR 19,88
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Añadir al carritoSoftcover. 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
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Idioma: Inglés
Publicado por Cambridge University Press 9/20/2018, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
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Añadir al carritoPaperback or Softback. Condición: New. Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars. Book.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: California Books, Miami, FL, Estados Unidos de America
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 39,71
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 38,49
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
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EUR 37,26
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Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
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Añadir al carritoCondición: New. 2018. Paperback. . . . . .
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Idioma: Inglés
Publicado por Cambridge University Press CUP, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. 1st edition niversity Press NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 54,09
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Añadir al carritoCondición: New. 2018. Paperback. . . . . . Books ship from the US and Ireland.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 474 pages. 9.00x6.00x1.00 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 57,02
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 45,94
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Añadir al carritoPaperback. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 32,59
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Añadir al carritoPaperback. Condición: Brand New. 474 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: Majestic Books, Hounslow, Reino Unido
EUR 56,12
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Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 55,39
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: CitiRetail, Stevenage, Reino Unido
EUR 42,79
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: moluna, Greven, Alemania
EUR 40,78
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2018
ISBN 10: 1107664640 ISBN 13: 9781107664647
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 63,75
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.