Opening book details…
Can I read Statistical Design (Springer Texts in Statistics) on EtoBox?
Statistical Design (Springer Texts in Statistics) by George Casella is a nonfiction available to read on EtoBox.
What is Statistical Design (Springer Texts in Statistics) about?
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.
Who reads Statistical Design (Springer Texts in Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- George Casella
- Publisher
- Springer-Verlag New York
- Published
- 2008
- Language
- EN
- ISBN
- 9780387759654
- Category
- nonfiction
- Subjects
- Science, Medical, Mathematics
Other editions & translations
More by George Casella
Browse all works by George Casella
Similar books
- Design and Analysis of Experiments (Springer Texts in Statistics) — Angela Dean, Daniel Voss & Danel DraguljiД‡ (2017)
- All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) — Larry Wasserman (auth.) (2004)
- Statistical Analysis of Financial Data in R (Springer Texts in Statistics) — Unknown. (2014)
- Monte Carlo Statistical Methods (Springer Texts in Statistics) — Christian P. Robert, George Casella (auth.) (2010)
- Testing Statistical Hypotheses (Springer Texts in Statistics) — Erich L. Lehmann & Joseph P. Romano (2005)
- A First Course in Bayesian Statistical Methods Springer Texts in Statistics — Peter D. Hoff (auth.) (2009)