Optimal Experimental Design with R

di Dieter Rasch (Autore)

Jurgen Pilz (Autore)

L.R. Verdooren (Autore)

Taylor & Francis Ltd, 2019

Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.

• Autore: Dieter Rasch, Jurgen Pilz, L.R. Verdooren
• Editore: Taylor & Francis Ltd
• Anno: 2019
• Rilegatura: Paperback / softback
• Pagine: 345 p.
• Dimensioni: 234 x 156 mm
• Peso: 453 gr.
• EAN: 9780367382766

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