aller au contenu
The cult of statistical significance : how the standard error costs us jobs, justice, and lives Aperçu de cet ouvrage
FermerAperçu de cet ouvrage
Vérifiant…

The cult of statistical significance : how the standard error costs us jobs, justice, and lives

Auteur : Stephen Thomas Ziliak; Deirdre N McCloskey
Éditeur : Ann Arbor : University of Michigan Press, ©2008.
Collection : Economics, cognition, and society.
Édition/format :   Print book : Publication gouvernementale provinciale ou d'état : AnglaisVoir toutes les éditions et tous les formats
Base de données :WorldCat
Résumé :
The Cult of Statistical Significance shows, field by field, how "statistical significance," a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ testing that doesn't "test" and estimating that doesn't "estimate". The facts will startle the outside reader: how could a group of brilliant scientists wander so  Lire la suite...
Évaluation :

(pas encore évalué) 0 avec des critiques - Soyez le premier.

Sujets
Plus comme ceci

 

Trouver un exemplaire en ligne

Liens vers cet ouvrage

Trouver un exemplaire dans la bibliothèque

&AllPage.SpinnerRetrieving; Recherche de bibliothèques qui possèdent cet ouvrage...

Détails

Format – détails additionnels : Online version:
Ziliak, Stephen Thomas, 1963-
Cult of statistical significance.
Ann Arbor : University of Michigan Press, c2008
(OCoLC)608617780
Type d’ouvrage : Publication gouvernementale, Publication gouvernementale provinciale ou d'état, Ressource Internet
Format : Livre, Ressource Internet
Tous les auteurs / collaborateurs : Stephen Thomas Ziliak; Deirdre N McCloskey
ISBN : 9780472070077 047207007X 9780472050079 0472050079
Numéro OCLC : 168717577
Description : xxiii, 321 p. : ill. ; 24 cm.
Contenu : A significant problem --
Dieting "significance" and the case of Vioxx --
The sizeless stare of statistical significance --
What the sizeless scientists say in defense --
Better practice: [beta]-importance vs. [alpha]-"significance" --
A lot can go wrong in the use of significance tests in economics --
A lot did go wrong in the American Economic Review during the 1980s --
Is economic practice improving? --
How big is big in economics? --
What the sizeless stare costs, economically speaking --
How economics stays that way: the textbooks and the referees --
The not-boring rise of significance in psychology --
Psychometrics lacks power --
The psychology of psychological significance testing --
Medicine seeks a magic pill --
Rothman's revolt --
On drugs, disability, and death --
Edgeworth's significance --
"Take 3[sigma] as definitely significant": Pearson's rule --
Who sits on the egg of culculus canorus? Not Karl Pearson --
Gosset: the fable of the bee --
Fisher: the fable of the wasp --
How the wasp stung the bee and took over some sciences --
Eighty years of trained incapacity: how such a thing could happen --
What to do.
Titre de collection : Economics, cognition, and society.
Responsabilité : by Stephen T. Ziliak and Deirdre N. McCloskey.
Plus d’informations :

Résumé :

The Cult of Statistical Significance shows, field by field, how "statistical significance," a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ testing that doesn't "test" and estimating that doesn't "estimate". The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots.

Critiques

Critiques d’utilisateurs
Récupération des critiques de GoodReads...
Récuperation des critiques DOGObooks…

Tags

Tous les tags des utilisateurs (2)

Voir les tags les plus utilisés sous forme de : liste de tags | nuage de tags

Ouvrages semblables

Sujets associés :(3)

Listes d’utilisateurs dans lesquelles cet ouvrage apparaît (5)

Confirmez cette demande

Vous avez peut-être déjà demandé cet ouvrage. Veuillez sélectionner OK si vous voulez poursuivre avec cette demande quand même.

Données liées


<http://www.worldcat.org/oclc/168717577>
library:oclcnum"168717577"
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:MediaObject
rdf:typeschema:Book
rdf:valueUnknown value: sgp
rdf:valueUnknown value: gpb
schema:about
schema:about
schema:about
schema:about
schema:about
schema:contributor
schema:copyrightYear"2008"
schema:creator
schema:datePublished"2008"
schema:description"A significant problem -- Dieting "significance" and the case of Vioxx -- The sizeless stare of statistical significance -- What the sizeless scientists say in defense -- Better practice: [beta]-importance vs. [alpha]-"significance" -- A lot can go wrong in the use of significance tests in economics -- A lot did go wrong in the American Economic Review during the 1980s -- Is economic practice improving? -- How big is big in economics? -- What the sizeless stare costs, economically speaking -- How economics stays that way: the textbooks and the referees -- The not-boring rise of significance in psychology -- Psychometrics lacks power -- The psychology of psychological significance testing -- Medicine seeks a magic pill -- Rothman's revolt -- On drugs, disability, and death -- Edgeworth's significance -- "Take 3[sigma] as definitely significant": Pearson's rule -- Who sits on the egg of culculus canorus? Not Karl Pearson -- Gosset: the fable of the bee -- Fisher: the fable of the wasp -- How the wasp stung the bee and took over some sciences -- Eighty years of trained incapacity: how such a thing could happen -- What to do."@en
schema:description"The Cult of Statistical Significance shows, field by field, how "statistical significance," a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ testing that doesn't "test" and estimating that doesn't "estimate". The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/794255986>
schema:inLanguage"en"
schema:isPartOf
schema:name"The cult of statistical significance : how the standard error costs us jobs, justice, and lives"@en
schema:numberOfPages"321"
schema:publication
schema:publisher
schema:workExample
schema:workExample
wdrs:describedby

Content-negotiable representations

Fermer la fenêtre

Veuillez vous identifier dans WorldCat 

Vous n’avez pas de compte? Vous pouvez facilement créer un compte gratuit.