- September 2008
109.- Euro
2008. 802 Pages, Softcover
ISBN-10: 0-470-41216-X
ISBN-13: 978-0-470-41216-9 - John Wiley & Sons








Detailed description
Introduction to Design and Analysis of Experiments explains how to choose sound and suitable design structures and engages students in understanding the interpretive and constructive natures of data analysis and experimental design. Cobb's approach allows students to build a deep understanding of statistical concepts over time as they analyze and design experiments. The field of statistics is presented as a matrix, rather than a hierarchy, of related concepts. Developed over years of classroom use, this text can be used as an introduction to statistics emphasizing experimental design or as an elementary graduate survey course.

Widely praised for its exceptional range of intelligent and creative exercises, and for its large number of examples and data sets, Introduction to Design and Analysis of Experiments--now offered in a convenient paperback format--helps students increase their understanding of the material as they come to see the connections between diverse statistical concepts that arise from the experiments around which the text is built.

From the contents
To the Instructor
Sample Exam Questions
To the Student
Acknowledgments

1.Introduction To Experimental Design 1 2. Informal Analysis and Checking Assumptions 38
3. Formal Anova: Decomposing the data and measuring variability, Testing Hypothesis and estimating true differences 61
4. Decisions about the Content of an Experiment 108
5. Randomization and the Basic Factorial Design 148
6. Interaction and the Principle of Factorial Crossing 199
7. The Principle of Blocking 243
8. Working with the Four Basic Designs 310
9. Extending the Basic Designs by Factorial Crossing 370
10. Decomposing a Data Set 414
11. Comparisons, Contrasts, and Confidence Intervals 436
12. The Fisher Assumptions and How to Check Them 482
13. Other Experimental Designs and Models 535
14. Continuous Carriers: A Visual Approach to Regression, Correlation and Analysis of Covariance 614
15. Sampling Distributions and the Role of the Assumptions 690

Tables 774
Data Sources 782
Subject Index 786
Examples 796