Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.
FREE Two-Day Shipping for Students. Learn more |
 Sell Back Your Copy for $51.27
Whether you buy it used on Amazon for $98.41 or somewhere else, you can sell it back through our Book Trade-In Program at the current price of $51.27.
Used Price$98.41
Trade-in Price$51.27
Price after
Trade-in$47.14 |
Book Description
Special Offers and Product Promotions
- Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)
Frequently Bought Together
Product Details
Would you like to update product info or give feedback on images?
|
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
29 of 30 people found the following review helpful:
5.0 out of 5 stars
handling messy data in nonreplicated designs,
By
This review is from: Analysis of Messy Data, Volume II: Nonreplicated Experiments (Hardcover)
In many engineering studies experiments are conducted without any replication of a particular experimental condition. In such cases variability conditioned on a specific value for the experimental factors cannot be estimated. But model effects such as the main effects and interactions can be. This includes the unreplicated factorial and fractional factorial experiments as well as complete and incomplete randomized designs. The authors cover what is known to handle messy data in these type of designs. This book is the second in a series of three books by these fine applied academic statisticians. It is more concise than the first, probably in part because of the limited development of theory and methods for this type of data. These books are one of a kind and consequently are heavily referenced in other texts and journal articles,
Share your thoughts with other customers: Create your own review
|
|
Inside This Book
(learn more)
First Sentence:
Many experiments are very expensive to conduct so that experimenters are often forced to limit the number of treatment combinations that can be studied in order to have adequate resources available to replicate the treatment combinations under study. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
characteristic root test, multiplicative interaction model, experimental error variance, nonreplicated experiments, sausage type, row treatments, largest characteristic root, cake quality, interaction plot, column treatments, mixer type, generalized interaction, treatment combinations, alias sets, fractional factorial experiments, independent replications, plot method, variance method, treatment factors, treatment structure, defining effects, polynomial models, experimental plan, model statement Key Phrases - Capitalized Phrases (CAPs): (learn more)
Corrected Total, Estimate Intercept, Overlaying Figure, Error of Parameter Estimate Parameter, Quality Source, Appendix Table New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Many experiments are very expensive to conduct so that experimenters are often forced to limit the number of treatment combinations that can be studied in order to have adequate resources available to replicate the treatment combinations under study. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
characteristic root test, multiplicative interaction model, experimental error variance, nonreplicated experiments, sausage type, row treatments, largest characteristic root, cake quality, interaction plot, column treatments, mixer type, generalized interaction, treatment combinations, alias sets, fractional factorial experiments, independent replications, plot method, variance method, treatment factors, treatment structure, defining effects, polynomial models, experimental plan, model statement Key Phrases - Capitalized Phrases (CAPs): (learn more)
Corrected Total, Estimate Intercept, Overlaying Figure, Error of Parameter Estimate Parameter, Quality Source, Appendix Table New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 6
books:
See all 6 books this book cites
- Fundamental Concepts in the Design of Experiments by Charles R. Hicks in Back Matter
- Theory and Application of the Linear Model (Duxbury Classic) by Franklin A. Graybill in Back Matter
- Incomplete Block Designs (Lecture Notes in Statistics) by Peter William Meredith John in Back Matter
- Analysis of Messy Data, Volume I: Designed Experiments by George A. Milliken in Back Matter
- Multivariate Analysis: 1st: International Symposium Proceedings by Paruchuri R. Krishnaiah in Back Matter
See all 6 books this book cites
Books on Related Topics
(learn more)
|
What Other Items Do Customers Buy After Viewing This Item?
Tags Customers Associate with This Product(What's this?)Click on a tag to find related items, discussions, and people.
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
