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Introduction to Design and Analysis of Experiments, by George W. Cobb
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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.
- Sales Rank: #847284 in Books
- Published on: 2008-06-10
- Original language: English
- Number of items: 1
- Dimensions: 9.57" h x 1.14" w x 6.99" l, 2.35 pounds
- Binding: Paperback
- 832 pages
From the Back Cover
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 misunderstanding 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 Statistics 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.
Most helpful customer reviews
5 of 5 people found the following review helpful.
good elementary treatment of experimental design
By Michael R. Chernick
Many good books on experimental designs are avaialble. Nost are written on an advanced level and others either have an agricultural or an engineering orientation. This book by Cobb is different. It is excellently written on an elementary level and it covers basic principles involved with designs before delving into specific details.
2 of 2 people found the following review helpful.
Excellent book
By brettware5
This book is a great book, I am using it for my Stat 230 class and it is very easy to read compared to other textbooks that I have used in the past. If you are trying to learn about experiments give this book a try.
0 of 0 people found the following review helpful.
Avoid this textbook
By Jeff Stephens
Easily the worst textbook I have ever had. Many of our assignments were modified to accommodate the errors in the textbook. Finding information was very difficult, and the author would regularly refer to experiments a few hundred pages before without any page references. Most of the problems were vague as to what they wanted for answers, and I felt that several answers could be justified in many instances. The author didn't include any answers in the back, further increasing the difficulty in understanding what they wanted. I often had to go to the TA not because I didn't understand the material, but because I didn't know which answer they wanted.
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