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Design of experiments : an introduction based on linear models /

IntroductionExample: rainfall and grassland Basic elements of an experimentExperiments and experiment-like studies Models and data analysisLinear Statistical ModelsLinear vector spaces Basic linear model The hat matrix, least-squares estimates, and design information matrixThe partitioned linear mod...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Morris, Max, 1950-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : Chapman & Hall/CRC, 2011.
Colección:Texts in statistical science.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Design of experiments :  |b an introduction based on linear models /  |c Max Morris. 
260 |a Boca Raton :  |b Chapman & Hall/CRC,  |c 2011. 
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490 1 |a Chapman & Hall/CRC texts in statistical science series 
504 |a Includes bibliographical references and index. 
505 0 |a Front cover; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Linear statistical models; CHAPTER 2: Linear statistical models; CHAPTER 3: Completely randomized designs; CHAPTER 4: Randomized complete blocks and related designs; CHAPTER 5: Latin squares and related designs; CHAPTER 6: Some data analysis for CRDs andorthogonally blocked designs; CHAPTER 7: Balanced incomplete block designs; CHAPTER 8: Random block effects; CHAPTER 9: Factorial treatment structure; CHAPTER 10: Split-plot designs; CHAPTER 11: Two-level factorial experiments:basics. 
505 8 |a CHAPTER 12: Two-level factorial experiments: blockingCHAPTER 13:Two-level factorial experiments: fractional factorials; CHAPTER 14: Factorial group screening experiments; CHAPTER 15: Regression experiments: first-order polynomial models; CHAPTER 16: Regression experiments: second-order polynomial models; CHAPTER 17: Introduction to optimal design; Appendix A: Calculations using R; Appendix B: Solution notes for selected exercises; References; Index; Back cover. 
520 |a IntroductionExample: rainfall and grassland Basic elements of an experimentExperiments and experiment-like studies Models and data analysisLinear Statistical ModelsLinear vector spaces Basic linear model The hat matrix, least-squares estimates, and design information matrixThe partitioned linear model The reduced normal equations Linear and quadratic forms Estimation and information Hypothesis testing and informationBlocking and informationCompletely Randomized DesignsIntroductionModels Matrix formulation Influence of design on estimation Influence of design on hypothesis testingRandomized Com. 
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