Software for Data Analysis - Programming with R (Paperback, Softcover reprint of hardcover 1st ed. 2008)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Statistics and Computing
Release date:	November 2010
First published:	2008
Authors:	John Chambers
Dimensions:	235 x 155 x 31mm (L x W x T)
Format:	Paperback
Pages:	500
Edition:	Softcover reprint of hardcover 1st ed. 2008
ISBN-13:	978-1-4419-2612-8
Categories:	Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	1-4419-2612-7
Barcode:	9781441926128

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