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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
21/09/1993 |
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Data da última atualização: |
31/03/2023 |
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Autoria: |
LARSON, D. A. |
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Afiliação: |
University of New Orleans. |
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Título: |
Analysis of variance with just summary statistics as imput. |
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Ano de publicação: |
1992 |
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Fonte/Imprenta: |
The American Statistician, may 1992, v.46,n.2. |
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Páginas: |
151-152 |
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Idioma: |
Inglês |
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Conteúdo: |
One-way analysis of variance (ANOVA) is performed either on a given set of data or on the set's corresponding sufficient statistics (n,. x,. s,.2,). Statistical programs implement one-way ANOVA commands directly on a complete set of data. An uncomplicated technique is presented that allows the standard one=way ANOVA procedures to be invoked directly on the sufficient statistics. Sufficiency is utilized to derive two equations from which an equivalent surrogate set of data is constructed. The constructed set of data replaces the actual (unavailable) set of data. The technique can be generalized to the n-way ANOVA case. |
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Palavras-Chave: |
One-way analysis of variance; sufficient statistics. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01084naa a2200157 a 4500
001 1646290
005 2023-03-31
008 1992 bl uuuu u00u1 u #d
100 1 $aLARSON, D. A.
245 $aAnalysis of variance with just summary statistics as imput.$h[electronic resource]
260 $c1992
300 $a151-152
520 $aOne-way analysis of variance (ANOVA) is performed either on a given set of data or on the set's corresponding sufficient statistics (n,. x,. s,.2,). Statistical programs implement one-way ANOVA commands directly on a complete set of data. An uncomplicated technique is presented that allows the standard one=way ANOVA procedures to be invoked directly on the sufficient statistics. Sufficiency is utilized to derive two equations from which an equivalent surrogate set of data is constructed. The constructed set of data replaces the actual (unavailable) set of data. The technique can be generalized to the n-way ANOVA case.
653 $aOne-way analysis of variance
653 $asufficient statistics
773 $tThe American Statistician, may 1992$gv.46,n.2.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
