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An Introduction to Optimal Designs for Social and Biomedical Research

Martijn P.F. Berger, Weng-Kee Wong




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 | #4554436 in Books |  2009-06-29 | Original language:English | PDF # 1 |  9.25 x.95 x6.25l,1.35 | File type: PDF | 346 pages

||1 of 1 people found the following review helpful.| For statisticians...|By alanrvazquez|if you are a biomedical researcher that is trying to implement optimal design ideas to reduce the sample size in your experiments (or for other reasons), you might find useful to incorporate a statistician to your team and ask him to read the book. The book explain (in an excellent way, indeed) all the basic concepts of optimal design theory

The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests.

The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on ...

You can specify the type of files you want, for your gadget.An Introduction to Optimal Designs for Social and Biomedical Research   |  Martijn P.F. Berger, Weng-Kee Wong. I really enjoyed this book and have already told so many people about it!

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