Practical data analysis for designed experiments / Brian S. Yandell (1997)  

Public ISBD Titre : Practical data analysis for designed experiments Type de document : texte imprimé Auteurs : Brian S. Yandell, Auteur Editeur : London : Chapman and Hall Année de publication : 1997 Importance : VIII-XIV-437 p. Présentation : ill. Format : 26 cm ISBN/ISSN/EAN : 978-0-412-06341-1 Note générale : Bibliogr. 429 p. -Index. pp.430-437 ( Texts in Statistical Science ) Langues : Français (fre) Mots-clés : Analyse de données--données réelles Data Analysis--real data Résumé : Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are based on real experiments and real data. Note de contenu : Sommaire: Part A: Placing Data in Context 1-Practical Data Analysis 2-Collaboration in Science 3-Experimental Design Part B: Working with Groups of Data 4-Group Summaries 5-Comparing Several Means 6-Multiple Comparisons of Means Part C: Sorting out Effects with Data 7-Factorial Designs 8-Balanced Experiments 9-Model Selection Part D: Dealing with Imbalance 10-Unbalanced Experiments 11-Missing Cells 12-Linear Models Inference ... En ligne : https://books.google.dz/books?id=K-e05Mrab0oC&pg=PR7&hl=fr&source=gbs_selected_p [...] Practical data analysis for designed experiments [texte imprimé] / Brian S. Yandell, Auteur . - London : Chapman and Hall, 1997 . - VIII-XIV-437 p. : ill. ; 26 cm. ISBN : 978-0-412-06341-1 Bibliogr. 429 p. -Index. pp.430-437 ( Texts in Statistical Science ) Langues : Français (fre) Mots-clés : Analyse de données--données réelles Data Analysis--real data Résumé : Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory. Written in a modern and accessible manner, this book is a useful blend of theory and methods. Exercises included in the text are based on real experiments and real data. Note de contenu : Sommaire: Part A: Placing Data in Context 1-Practical Data Analysis 2-Collaboration in Science 3-Experimental Design Part B: Working with Groups of Data 4-Group Summaries 5-Comparing Several Means 6-Multiple Comparisons of Means Part C: Sorting out Effects with Data 7-Factorial Designs 8-Balanced Experiments 9-Model Selection Part D: Dealing with Imbalance 10-Unbalanced Experiments 11-Missing Cells 12-Linear Models Inference ... En ligne : https://books.google.dz/books?id=K-e05Mrab0oC&pg=PR7&hl=fr&source=gbs_selected_p [...]

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