pular para conteúdo
The cult of statistical significance : how the standard error costs us jobs, justice, and lives Ver prévia deste item
FecharVer prévia deste item
Checando...

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

Autor: Stephen Thomas Ziliak; Deirdre N McCloskey
Editora: Ann Arbor : University of Michigan Press, ©2008.
Séries: Economics, cognition, and society.
Edição/Formato   Print book : Publicação de governo estadual ou província : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
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  Ler mais...
Classificação:

(ainda não classificado) 0 com críticas - Seja o primeiro.

Assuntos
Mais como este

 

Encontrar uma cópia on-line

Links para este item

Encontrar uma cópia na biblioteca

&AllPage.SpinnerRetrieving; Encontrando bibliotecas que possuem este item...

Detalhes

Formato Físico Adicional: Online version:
Ziliak, Stephen Thomas, 1963-
Cult of statistical significance.
Ann Arbor : University of Michigan Press, c2008
(OCoLC)608617780
Tipo de Material: Publicação do governo, Publicação de governo estadual ou província, Recurso Internet
Tipo de Documento: Livro, Recurso Internet
Todos os Autores / Contribuintes: Stephen Thomas Ziliak; Deirdre N McCloskey
ISBN: 9780472070077 047207007X 9780472050079 0472050079
Número OCLC: 168717577
Descrição: xxiii, 321 p. : ill. ; 24 cm.
Conteúdos: 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.
Título da Série: Economics, cognition, and society.
Responsabilidade: by Stephen T. Ziliak and Deirdre N. McCloskey.
Mais informações:

Resumo:

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.

Críticas

Críticas contribuídas por usuários
Recuperando críticas GoodReas...
Recuperando comentários DOGObooks

Etiquetas

Etiquetas de todos os usuários (2)

Ver as etiquetas mais populares como: lista de etiquetas | nuvem de etiquetas

Ítens Similares

Assuntos Relacionados:(3)

Listas de usuários com este item (5)

Confirmar esta solicitação

Você já pode ter solicitado este item. Por favor, selecione Ok se gostaria de proceder com esta solicitação de qualquer forma.

Dados Ligados


<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

Close Window

Por favor, conecte-se ao WorldCat 

Não tem uma conta? Você pode facilmente criar uma conta gratuita.