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Record Nr. |
UNINA9910797025803321 |
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Autore |
Morris Max <1950-> |
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Titolo |
Design of experiments : an introduction based on linear models / / by Max Morris |
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Pubbl/distr/stampa |
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Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2010 |
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ISBN |
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0-429-10898-2 |
1-4398-9490-6 |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (376 p.) |
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Collana |
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Chapman & Hall/CRC Texts in Statistical Science |
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Disciplina |
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Soggetti |
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Experimental design |
Linear models (Statistics) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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 |
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Sommario/riassunto |
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Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book |
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