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- catalog abstract ""Practical Data Analysis for Designed Experiments places data in the context of the scientific discovery of knowledge through experimentation and examines issues of comparing groups and sorting out factor effects. The consequences of imbalance and nesting in design are considered before concluding with more practical applications of the theory."--BOOK JACKET. "Throughout the book there are practical guidelines for formal data analysis and graphical representation of results. The book offers numerous examples with SAS and S-Plus instructions which are available on the Internet."--BOOK JACKET. "The text is aimed at statisticians and scientists, with enough theory and examples to help the reader understand the analysis of standard and nonstandard experimental designs. Graduate and research level biostatisticians and biologists will find the book of particular interest, and it will also be valued by data analysts and statistical consulting team members."--Jacket.".
- catalog contributor b9190131.
- catalog created "1997.".
- catalog date "1997".
- catalog date "1997.".
- catalog dateCopyrighted "1997.".
- catalog description ""Practical Data Analysis for Designed Experiments places data in the context of the scientific discovery of knowledge through experimentation and examines issues of comparing groups and sorting out factor effects. The consequences of imbalance and nesting in design are considered before concluding with more practical applications of the theory."--BOOK JACKET. "Throughout the book there are practical guidelines for formal data analysis and graphical representation of results. The book offers numerous examples with SAS and S-Plus instructions which are available on the Internet."--BOOK JACKET. "The text is aimed at statisticians and scientists, with enough theory and examples to help the reader understand the analysis of standard and nonstandard experimental designs. Graduate and research level biostatisticians and biologists will find the book of particular interest, and it will also be valued by data analysts and statistical consulting team members."--Jacket.".
- catalog description "1. Practical Data Analysis -- 2. Collaboration in Science -- 3. Experimental Design -- 4. Group Summaries -- 5. Comparing Several Means -- 6. Multiple Comparisons of Means -- 7. Factorial Designs -- 8. Balanced Experiments -- 9. Model Selection -- 10. Unbalanced Experiments -- 11. Missing Cells -- 12. Linear Models Inference -- 13. Residual Plots -- 14. Comparisons with Unequal Variance -- 15. Getting Free from Assumptions -- 16. Ordered Groups -- 17. Parallel Lines -- 18. Multiple Responses -- 19. Models with Random Effects -- 20. General Random Models -- 21. Mixed Effects Models -- 22. Nested Designs -- 23. Split Plot Design -- 24. General Nested Designs -- 25. Repeated Measures as Split Plot -- 26. Adjustments for Correlation -- 27. Cross-over Design.".
- catalog description "Includes bibliographical references (p. [423]-437) and indexes.".
- catalog extent "xiv, 437 p. :".
- catalog identifier "0412063417".
- catalog isPartOf "Chapman & Hall texts in statistical science series".
- catalog isPartOf "Texts in statistical science.".
- catalog issued "1997".
- catalog issued "1997.".
- catalog language "eng".
- catalog publisher "London ; New York : Chapman & Hall,".
- catalog subject "Analysis of variance.".
- catalog subject "Experimental design.".
- catalog subject "Global analysis (Mathematics).".
- catalog subject "Mathematical statistics.".
- catalog subject "Mathematics.".
- catalog subject "QA279 .Y365 1997".
- catalog tableOfContents "1. Practical Data Analysis -- 2. Collaboration in Science -- 3. Experimental Design -- 4. Group Summaries -- 5. Comparing Several Means -- 6. Multiple Comparisons of Means -- 7. Factorial Designs -- 8. Balanced Experiments -- 9. Model Selection -- 10. Unbalanced Experiments -- 11. Missing Cells -- 12. Linear Models Inference -- 13. Residual Plots -- 14. Comparisons with Unequal Variance -- 15. Getting Free from Assumptions -- 16. Ordered Groups -- 17. Parallel Lines -- 18. Multiple Responses -- 19. Models with Random Effects -- 20. General Random Models -- 21. Mixed Effects Models -- 22. Nested Designs -- 23. Split Plot Design -- 24. General Nested Designs -- 25. Repeated Measures as Split Plot -- 26. Adjustments for Correlation -- 27. Cross-over Design.".
- catalog title "Practical data analysis for designed experiments / Brian S. Yandell.".
- catalog type "text".