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Embrapa Acre; Embrapa Agricultura Digital; Embrapa Agroindústria de Alimentos; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amazônia Ocidental; Embrapa Caprinos e Ovinos; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Hortaliças; Embrapa Mandioca e Fruticultura; Embrapa Meio Ambiente; Embrapa Pantanal; Embrapa Pecuária Sul; Embrapa Rondônia; Embrapa Roraima; Embrapa Semiárido; Embrapa Soja; Embrapa Suínos e Aves; Embrapa Tabuleiros Costeiros; Embrapa Uva e Vinho. MenosEmbrapa Acre; Embrapa Agricultura Digital; Embrapa Agroindústria de Alimentos; Embrapa Agropecuária Oeste; Embrapa Algodão; Embrapa Amazônia Ocidental; Embrapa Caprinos e Ovinos; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Hortaliças... Mostrar Todas |
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Data corrente: |
07/01/1991 |
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Data da última atualização: |
21/06/2000 |
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Autoria: |
KEMPTHORNE, O. |
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Título: |
The design and analysis of experiments. |
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Ano de publicação: |
1979 |
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Fonte/Imprenta: |
E.U.A.: Robert E. Krieger Publishing CO. INC., 1979. |
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Páginas: |
628 p. |
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ISBN: |
0-88275-105-0 |
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Idioma: |
Inglês |
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Conteúdo: |
2 The principles of experimental design. Introduction. An illustrative example. An example on flavor discrimination. 3 Elementary statistical notions. Populations, distributions, parameters. The normal distribution and derived distributions. Linear functions of normally distributed variates. Orthogonality. Other distributions. estimation. The testing of hypotheses. Interval estimation. 4 An introduction to the theory of least squares. Introduction. The markoff theorem. A non-linear example. 5 The general linear hypothesis or multiple regression and the analysis of variance. Description of statistical procedures. Extension. The likelihood ratio test. Reduction of other cases of regression. Orthogonality. Quantity of information. Proof of the results of thischapter. The testing of a subhypothesis. The canonical form of the general linear hypothesis. 6 The analysis of multiple classifications. The 2-way classification with on observation per cell. Alternative approach to hypotheses not of full rank. The 2-way classification with unequal numbers and no interaction. A numerical example. The case of proportional frequencies. More complex classifications. The 2-way classification with interaction. The general p-way classification without interaction. The case of missing observations in planned n-way classifications. The alternative method of analyzing incomplete experiments. Proof of alternative procedure for missing plots. The analysis of covariance. Components of variance. The hierarchal classification.... Menos2 The principles of experimental design. Introduction. An illustrative example. An example on flavor discrimination. 3 Elementary statistical notions. Populations, distributions, parameters. The normal distribution and derived distributions. Linear functions of normally distributed variates. Orthogonality. Other distributions. estimation. The testing of hypotheses. Interval estimation. 4 An introduction to the theory of least squares. Introduction. The markoff theorem. A non-linear example. 5 The general linear hypothesis or multiple regression and the analysis of variance. Description of statistical procedures. Extension. The likelihood ratio test. Reduction of other cases of regression. Orthogonality. Quantity of information. Proof of the results of thischapter. The testing of a subhypothesis. The canonical form of the general linear hypothesis. 6 The analysis of multiple classifications. The 2-way classification with on observation per cell. Alternative approach to hypotheses not of full rank. The 2-way classification with unequal numbers and no interaction. A numerical example. The case of proportional frequencies. More complex classifications. The 2-way classification with interaction. The general p-way classification without interaction. The case of missing observations in planned n-way classifications. The alternative method of analyzing incomplete experiments. Proof of alternative procedure for missing plots. The analysis of covariance. Components of variance. The hi... Mostrar Tudo |
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Palavras-Chave: |
Análise de experimentos; Analise de variancia; Analises; Analysis; Biology; Confounding in factorial experiments; Confundimento em experimentos fatoriais; Delineamento; Delineamento de experimentos; Delineamento em latice; Delineamento experimental; Delineamentos aleatorizados; Desenho; Desenho experimental; Desigm; Estatistica experimental; Estatistica matematica; Experimento; Experimentos; Experimentos de campo; Experiments design; Fatorial fracionados; Fractional factorial; Lattice desing; Least squares method; Mathematical model; Mathematical statistics; Metodo dos quadrados minimos; Metodos estatísticos; Modelos matemáticos; Multiple regression and analysis of variance; Planejamento de experimentos; Randomization of design; Regressao multipla; Statistic; Statistical methods; Tabela; Tabelas; Tables; The design of experiments. |
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Thesagro: |
Agricultura; Análise; Biologia; Estatística; Pesquisa; Planejamento. |
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Thesaurus Nal: |
agriculture; design; experimental design; planning; statistical analysis; Statistics. |
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Categoria do assunto: |
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X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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020 $a0-88275-105-0
100 1 $aKEMPTHORNE, O.
245 $aThe design and analysis of experiments.
260 $aE.U.A.: Robert E. Krieger Publishing CO. INC.$c1979
300 $a628 p.
520 $a2 The principles of experimental design. Introduction. An illustrative example. An example on flavor discrimination. 3 Elementary statistical notions. Populations, distributions, parameters. The normal distribution and derived distributions. Linear functions of normally distributed variates. Orthogonality. Other distributions. estimation. The testing of hypotheses. Interval estimation. 4 An introduction to the theory of least squares. Introduction. The markoff theorem. A non-linear example. 5 The general linear hypothesis or multiple regression and the analysis of variance. Description of statistical procedures. Extension. The likelihood ratio test. Reduction of other cases of regression. Orthogonality. Quantity of information. Proof of the results of thischapter. The testing of a subhypothesis. The canonical form of the general linear hypothesis. 6 The analysis of multiple classifications. The 2-way classification with on observation per cell. Alternative approach to hypotheses not of full rank. The 2-way classification with unequal numbers and no interaction. A numerical example. The case of proportional frequencies. More complex classifications. The 2-way classification with interaction. The general p-way classification without interaction. The case of missing observations in planned n-way classifications. The alternative method of analyzing incomplete experiments. Proof of alternative procedure for missing plots. The analysis of covariance. Components of variance. The hierarchal classification....
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653 $aStatistic
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653 $aTabela
653 $aTabelas
653 $aTables
653 $aThe design of experiments
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