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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
06/07/1995 |
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Data da última atualização: |
06/07/1995 |
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Autoria: |
BARTLETT, M. S. |
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Título: |
Nearest neighbour models in the analysis of field experiments |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
Journal Royal Statistical Society. B, v.40, n.2, p.147-174, 1995. |
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Idioma: |
Inglês |
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Conteúdo: |
The method of adjusting plot values y covariance on neighbouring plots in randomized field experiments, suggested by Papadakis in 1937, is re-examined theoretically fowr both one-dimensional and two-dimensional layouts, making use of Markovian and autonormal models.The gain in efficiency over orthodox randomized block analysis can be appreciable when the number of treatments is fairly large, and can be increased by iterating the analysis; this also reduces the discrepancy beween the apparent accuracy from the residual sum of squares, and the true accuracy of the treatment comparusons after adjustment. Some illustrative examples are included. |
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Palavras-Chave: |
Analysis of field experiments; Covariance on neighbour plots; Local dependence; Nearest neighbour spatial models; Papadakis method; Semi-systematic designs. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01248naa a2200193 a 4500
001 1646642
005 1995-07-06
008 1995 bl --- 0-- u #d
100 1 $aBARTLETT, M. S.
245 $aNearest neighbour models in the analysis of field experiments
260 $c1995
520 $aThe method of adjusting plot values y covariance on neighbouring plots in randomized field experiments, suggested by Papadakis in 1937, is re-examined theoretically fowr both one-dimensional and two-dimensional layouts, making use of Markovian and autonormal models.The gain in efficiency over orthodox randomized block analysis can be appreciable when the number of treatments is fairly large, and can be increased by iterating the analysis; this also reduces the discrepancy beween the apparent accuracy from the residual sum of squares, and the true accuracy of the treatment comparusons after adjustment. Some illustrative examples are included.
653 $aAnalysis of field experiments
653 $aCovariance on neighbour plots
653 $aLocal dependence
653 $aNearest neighbour spatial models
653 $aPapadakis method
653 $aSemi-systematic designs
773 $tJournal Royal Statistical Society. B$gv.40, n.2, p.147-174, 1995.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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| Registros recuperados : 1 | |
| 1. |  | ANDORF, C.; BARTLETT, M.; BASS, H.; DE LEON, N.; DOYLE, E.; BROOKS, T. D.; FOWLER, J.; JACKSON, D.; LUBKOWITZ, M.; MAKAREVITCH, I.; SOUSA, S. M. de; PORTWOOD, J.; PRAUD, P.; WOODHOUSE, M.; YANDEAU-NELSON, M.; WARBURTON, M. Maize genetics Committee on Outreach, Diversity, Inclusion, and Education (CODIE) 2020-2021 update. In: ANNUAL MAIZE GENETICS MEETING, 63., 2021. Program and abstracts. Beltsville: USDA/ARS, 2021. p. 83. Virtual meeting.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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