Statistical inference severe testing de mayo deborah (46 resultados)

Condición: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.…

Condición: acceptable.

Paperback. Condición: 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.…

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.

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

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

Condición: New.

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

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: 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.…

Condición: New. 2018. Paperback. . . . . .

Condición: New.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: New. 2018. Paperback. . . . . . Books ship from the US and Ireland.

Paperback / softback. Condición: New. New copy - Usually dispatched within 3 working days.

Condición: New. 1st edition niversity Press NO-PA16APR2015-KAP.

Paperback. Condición: Brand New. 474 pages. 9.00x6.00x1.00 inches. In Stock.

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

Hardback. Condición: 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.…

Condición: New.

Taschenbuch. 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.…

Condición: 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.

Condición: New.

Condición: New. In English.

Condición: New.

Condición: New.