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Statistical Design / by George Casella
(Springer Texts in Statistics. ISSN:21974136)

1st ed. 2008.
出版者 New York, NY : Springer New York : Imprint: Springer
出版年 2008
本文言語 英語
大きさ XXIII, 307 p : online resource
冊子体 New integrals : proceedings of the Henstock Conference held in Coleraine, Northern Ireland, August 9-12, 1988 / P.S. Bullen ... [et al.] (eds.) ; : gw,: us
著者標目 *Casella, George author
SpringerLink (Online service)
件 名 LCSH:Statistics
LCSH:Medical genetics
LCSH:Plant genetics
LCSH:Anatomy, Comparative
FREE:Statistical Theory and Methods
FREE:Medical Genetics
FREE:Plant Genetics
FREE:Animal Anatomy
一般注記 Basics -- Completely Randomized Designs -- Complete Block Designs -- Interlude: Assessing the Effects of Blocking -- Split Plot Designs -- Confounding in Blocks
Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated through actual experiments, ranging from the timeless agricultural randomized complete block, to microarray experiments, which naturally lead to split plot designs and balanced incomplete blocks. 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 Cited Researcher." In other capacities, Professor Casella has served as Theory and Methods Editor of the Journal of the American Statistical Association, 1996-1999, Executive Editor of Statistical Science, 2001-2004, and Co-Editor of the Journal of the Royal Statistical Society, Series B, 2009-2012. He has served on the Board of Mathematical Sciences of the National Research Council, 1999-2003, and many committees of both the American Statistical Association and the Institute of Mathematical Statistics. Professor Casella has co-authored five textbooks: Variance Components, 1992; Theory of Point Estimation, Second Edition, 1998; Monte Carlo Statistical Methods, Second Edition, 2004; Statistical Inference, Second Edition, 2001, and Statistical Genomics of Complex Traits, 2007
HTTP:URL=https://doi.org/10.1007/978-0-387-75965-4
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Springer eBooks 9780387759654
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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519.5
書誌ID 4000115471
ISBN 9780387759654

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