Papers by Antonio Francisco Iemma
Matriz do delineamento e inversa generalizada de moore-penrose
Anais, 1989
Design matrix and the moore-penrose generalized inverse
Ajuste de modelos mistos através do sístema estatístico sas
Curvas de crescimento: análise de dados longitudinais incompletos com resíduos autocorrelacionados
Revista de matematica e estatistica, 1990
CRC Press eBooks, Dec 11, 2014
A systematic technique for experimental design is important for the optimization of products and ... more A systematic technique for experimental design is important for the optimization of products and processes in various areas. This book introduces the methodology of factorial design associated with response surface analysis, which is a statistical theory-based experimental design and process optimization method. With this book, the authors wish to transmit their experience using these methodologies to assist others in solving the challenges of process or product research and development. The authors try to make the book practically useful to those who consider statistics an indispensable tool for developing products and processes. With this objective, the book starts by presenting the motivation for using experimental design, and explains the importance of integrating process, statistics, and common sense. Chapter 2 presents some fundamental statistics at an introductory level and covers descriptive statistics, probability and mathematical statistics, statistical inference, and the simple linear regression. Chapter 3 presents some basic concepts of experimental design (e.g. factorial design, fractional factorial, and central composite designs) for understanding the following chapters (4-7). To demonstrate the advantages of applying factorial design, Chapter 4 compares the factorial design method with the 'one factor at a time' method. Chapter 5 presents the full factorial design and fractional factorial design-based sequential experimental design techniques through informative case studies. This chapter involves a comprehensive investigation of experimental design with various numbers of factors, from 3-8. Chapter 6 discusses the Plackett and Burman design method for addressing the initial selection of factors when the total number is large (i.e. greater than eight). Chapter 7 presents several interesting applications of the factorial design-based sequential design method. These cases include good problem summary, methodology description, result analysis, and conclusions, which helps readers understand the motivation and the procedure of the major techniques introduced by the book. This book is organized in a way that is appropriate for practitioners who want to immediately use the methodologies to help solve problems. The authors acknowledge that the direct use of user-friendly software without prior knowledge of the fundamentals of a methodology can be a major risk, and can cause the user to make misguided interpretations. Based on such considerations, the book presents some fundamental statistics and experimental design knowledge at a reasonable level, although the book does not comprehensively cover all the theories, such as effect calculation and model adequacy checking. Overall, the book is a handy reference for those who seek direct and immediate applications of factorial design and response analysis methods for optimizing process or product development. From the reviewer's view, the book may be suitable as a supplementary reference book for university-level courses. Case studies from the book can be used as effective demonstrations of the theories. It can also be a valuable reference book for any practitioner of experimental design.
Regressao polinomial na analise de experimentos em blocos incompletos balanceados e parcialmente balanceados
Resumos, 1989
Ensaios com parcelas subdivididas em blocos incompletos balanceados-resultados basicos
Revista de agricultura (Piracicaba), 1982
Planejamento de experimentos e otimização de processos: uma estratégia sequencial de planejamentos
Sequencia eruptiva de dentes deciduos em criancas carenciadas socio-economicamente de piracicaba
Um critério para a seleçao de variáveis na regressao em componentes principais
Revista de matematica e estatistica, 1990
Aplicacao do algoritmo de cholesky no estudo dos modelos lineares
Resumos, 1989
Analise de tabelas de contigencia tridimensionais: uso da informacao minima de discriminacao
Anais, 1989
Violacao da hipotese de independencia em modelos com dois fatores
Resumos, 1989
Usando matrizes de helmert e matrizes uniformes como recurso didatico
Atas, 1987
Uso da decomposicao pelo valor singular no estudo da estimabilidade de funcoes lineares em modelos de gauss-markov
Atas, 1989
Ciência e Natura, Dec 12, 1981
On the Estimation and Prediction in Mixed Linear Models
Scientia Agricola, May 1, 1998
Beginning with the classical Gauss-Markov Linear Model for mixed effects and using the technique ... more Beginning with the classical Gauss-Markov Linear Model for mixed effects and using the technique of the Lagrange multipliers to obtain an alternative method for the estimation of linear predictors. A structural method is also discussed in order to obtain the variance and covariance matrixes and their inverses.
Um metodo de calculo das probabilidades para a distribuicao F nao central
Revista de matematica e estatistica, 1993
Eficácia de barreira de eucaliptos na contenção do efeito de borda em fragmento de floresta subtropical no estado de São Paulo, Brasil
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Papers by Antonio Francisco Iemma