عنوان

Statistical inference as severe testing :

(Number (ISBN

1107054133

(Number (ISBN

1107664640

(Number (ISBN

9781107054134

(Number (ISBN

9781107664647

Erroneous ISBN

9781107286184 (ebook)

Erroneous ISBN

9781108566476 (ebook)

Title Proper

Statistical inference as severe testing :

General Material Designation

[Book]

Other Title Information

how to get beyond the statistics wars /

First Statement of Responsibility

Deborah G. Mayo (Virginia Tech).

Place of Publication, Distribution, etc.

New York, NY :

Name of Publisher, Distributor, etc.

Cambridge University Press,

Date of Publication, Distribution, etc.

2018.

Date of Publication, Distribution, etc.

©2018

Specific Material Designation and Extent of Item

xvi, 486 pages ;

Dimensions

23 cm

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

Text of Note

"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.

International Standard Book Number

9781107286184

Deviation (Mathematics)

Error analysis (Mathematics)

Fallacies (Logic)

Inference.

Mathematical statistics.

Deviation (Mathematics)

Error analysis (Mathematics)

Fallacies (Logic)

Inference.

Inferenzstatistik

Mathematical statistics.

Statistische Schlussweise

Number

Edition

Class number

Book number

Mayo, Deborah G.

Date of Transaction

20200822150554.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

Y