Statistical Design

1. Auflage. Softcover version of original hardcover Auflage 2008
ISBN: 978-1-4419-2614-2
Verlag: Springer

Buch, Englisch, 307 Seiten, Previously published in hardcover, Format (B × H): 156 mm x 234 mm, Gewicht: 472 g

Reihe: Springer Texts in Statistics

Statistical design is one of the fundamentals of our subject, being at the core of the growth of statistics during the previous century. In this book the basic theoretical underpinnings are covered. It describes the principles that drive good designs and good statistics.

Design played a key role in agricultural statistics and set down principles of good practice, principles that still apply today. Statistical design is all about understanding where the variance comes from, and making sure that is where the replication is. Indeed, it is probably correct to say that these principles are even more important today.

Zielgruppe

Research

Autoren/Hrsg.

Casella, George

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Basics.- Completely Randomized Designs.- Complete Block Designs.- Interlude: Assessing the Effects of Blocking.- Split Plot Designs.- Confounding in Blocks.

Über Autor(innen)

George Casella is Distinguished Professor in the Department of Statistics at the University of Florida. He is active in many aspects of statistics, having contributed to theoretical statistics in the areas of decision theory and statistical confidence, to environmental statistics, and has more recently concentrated efforts in statistical genomics. He also maintains active research interests in the theory and application of Monte Carlo and other computationally intensive methods. He is listed as an ISI "Highly