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The Resource Statistical inference as severe testing : how to get beyond the statistics wars, Deborah G. Mayo (Virginia Tech)

Statistical inference as severe testing : how to get beyond the statistics wars, Deborah G. Mayo (Virginia Tech)

Label
Statistical inference as severe testing : how to get beyond the statistics wars
Title
Statistical inference as severe testing
Title remainder
how to get beyond the statistics wars
Statement of responsibility
Deborah G. Mayo (Virginia Tech)
Creator
Subject
Language
eng
Summary
"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. --
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Mayo, Deborah G
Dewey number
519.54
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Inference
  • Error analysis (Mathematics)
  • Fallacies (Logic)
  • Deviation (Mathematics)
Label
Statistical inference as severe testing : how to get beyond the statistics wars, Deborah G. Mayo (Virginia Tech)
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
on1018457393
Dimensions
23 cm
Extent
xvi, 486 pages
Isbn
9781107054134
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
System control number
(OCoLC)1018457393
Label
Statistical inference as severe testing : how to get beyond the statistics wars, Deborah G. Mayo (Virginia Tech)
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
on1018457393
Dimensions
23 cm
Extent
xvi, 486 pages
Isbn
9781107054134
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
System control number
(OCoLC)1018457393

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