Depois de estudar o planejamento de experimentos, um pesquisador ou
estatístico deverá ser capaz de:
escolher um desenho experimental que seja apropriado para o
problema de pesquisa em questão;
construir o projeto, incluindo a realização de randomização
adequada e determinação do número necessário de repetições;
executar o plano de coleta de dados ou aconselhar um colega sobre
como fazê-lo;
determinar o modelo apropriado para os dados;
ajustar o modelo aos dados; e
interpretar os dados e apresentar os resultados de forma
significativa para responder à questão de pesquisa.
O objetivo desta página é focar em conectar os objetivos da pesquisa
ao tipo de projeto experimental necessário, descrevendo o processo real
de criação do projeto e coleta de dados, mostrando como realizar a
análise adequada dos dados e ilustrando a interpretação. de resultados.
A exposição sobre a mecânica da computação é minimizada com a utilização
de um pacote de software estatístico.
Com a disponibilidade de modernos pacotes de computação estatística,
a análise de dados tornou-se muito mais fácil e está bem abordada em
livros de métodos estatísticos. Num livro sobre projeto e análise de
experimentos, não há mais necessidade de mostrar todas as fórmulas
computacionais que eram necessárias antes do advento da computação
moderna. No entanto, é necessária uma explicação cuidadosa de como obter
a análise adequada de um pacote de computador.
A análise padrão realizada pela maioria dos softwares estatísticos
assume que os dados vieram de um desenho completamente aleatório. Na
prática, esta é muitas vezes uma suposição falsa. Este livro enfatiza a
conexão entre as unidades experimentais e a forma como os tratamentos
são randomizados para unidades experimentais e o termo de erro adequado
para uma análise dos dados.
10.2 Fundamentos da metodologia de superfície de resposta
10.2.1 Modelo quadrático empírico
10.2.2 Considerações de planejamento
10.3 Projetos padrão para modelos de segunda ordem
10.3.2 Planejamento de Box-Behnken
10.3.3 Projeto composto pequeno
10.3.4 Projeto híbrido
10.4 Criando planejamentos de superfície de resposta padrão em R
10.5 Projetos não padrões de superfície de resposta
10.6 Ajustando o modelo de superfície de resposta no R
10.6.1 Ajustando um modelo linear e verificando a curvatura
10.6.2 Ajustando o modelo quadrático geral
10.6.3 Ajustando um modelo mecanístico não linear
10.7 Determinação das condições operacionais ideais
10.7.1 Gráficos de contorno
10.7.2 Análise canônica
10.7.3 Análise ridge
10.7.4 Otimização não linear
10.7.5 Otimização de múltiplas respostas
10.8 Projetos em blocos de superfície de resposta
10.9 Projetos Split-Plot de superfície de resposta
10.10 Exercícios
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