عنوان

Statistical inference as severe testing :

شابک

1107054133

شابک

1107664640

شابک

9781107054134

شابک

9781107664647

شابک اشتباه

9781107286184 (ebook)

شابک اشتباه

9781108566476 (ebook)

عنوان اصلي

Statistical inference as severe testing :

نام عام مواد

[Book]

ساير اطلاعات عنواني

how to get beyond the statistics wars /

نام نخستين پديدآور

Deborah G. Mayo (Virginia Tech).

محل نشرو پخش و غیره

New York, NY :

نام ناشر، پخش کننده و غيره

Cambridge University Press,

تاریخ نشرو بخش و غیره

2018.

تاریخ نشرو بخش و غیره

©2018

نام خاص و کميت اثر

xvi, 486 pages ;

ابعاد

23 cm

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Preface -- How to tell what's true about statistical inference -- Taboos of induction and falsification -- Statistical tests and scientific inference -- Objectivity and auditing -- Power and severity -- (Probabilist) foundations lost, (probative) foundations found.

بدون عنوان

0

متن يادداشت

"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. Views a contentious debate as a difference in goals to enable fair-minded engagement; Refocuses on the goal of learning from error to shed fresh light on statistical inference; Offers a bridge between long-standing philosophical problems and concerns of practicing scientists and statisticians" -- From the publisher.

شماره استاندارد بين المللي کتاب و موسيقي

9781107286184

موضوع مستند نشده

Deviation (Mathematics)

موضوع مستند نشده

Error analysis (Mathematics)

موضوع مستند نشده

Fallacies (Logic)

موضوع مستند نشده

Inference.

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Deviation (Mathematics)

موضوع مستند نشده

Error analysis (Mathematics)

موضوع مستند نشده

Fallacies (Logic)

موضوع مستند نشده

Inference.

موضوع مستند نشده

Inferenzstatistik

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Statistische Schlussweise

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Mayo, Deborah G.

تاريخ عمليات

20200822150554.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y