Introduction to Design and Analysis of Experiments

Erscheinungsjahr 2002
ISBN: 978-1-931914-07-9
Verlag: Key College Publishing

Buch, Englisch, 802 Seiten

Data analysis is an interpretive activity. George Cobb's goals in Introduction to Design and Analysis of Experiments are to explain how to choose sound and suitable design structures and to engage the student in understanding the interpretive and constructive nature of data analysis and experimental design. Developed over years of classroom use, this text can be used as an introduction to statistics emphasizing experimental design. Technical prerequisites are kept to a minimum. It can also be used as an elementary graduate survey course. Cobb's approach and careful exposition allow students to build a deep understanding of statistical concepts over time as they analyze and design experiments. He presents the field of statistics to students as a matrix, rather than a hierarchy, of related concepts. This text introduces the main concepts of statistical thinking in the context of experimental design and ANOVA, allowing the material to be covered in half of the usual time. Introduction to Design and Analysis of Experiments was originally published by Springer-Verlag, New York and is now being reprinted by Key College Publishing. It is available for sale from either publisher.

Inhalt:
Introduction to Experimental Design; Informal Analysis and Checking Assumptions.- Formal ANOVA Decomposing the Data and Measuring Variability, Testing Hypotheses and Estimating True Differences.- Decisions About the Content of an Experiment.- Randomization and the Basic Factorial Design.- Interaction and the Principle of Factorial Crossing.- The Principle of Blocking.- Working with the Four Basic Designs.- Extending the Basic Designs by Factorial Crossing.- Decomposing a Data Set.- Comparisons, Contracts, and Confidence Intervals.- The Fisher Assumptions and How to Check Them.- Other Experimental Designs and Models.- Continuous Carriers: A Visual Approach to Regression, Correlation and Analysis of Covariance.- Sampling Distributions and the Role of the Assumptions.- Supplementary Examples: Chapters 4, 5, 6, 7, 8, 9.

Zielgruppe

Experienced design instructors, experienced design students

Autoren/Hrsg.

Cobb, George W.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

Über Autor(innen)

George W. Cobb, Mount Holyoke College, South Hadley, MA, USA