Practical Data Analysis for Designed Experiments (Chapman & Hall Texts in Statistical Science Series, Band 39) - Hardcover

Inhaltsangabe

This book is aimed at statisticians and scientists who want practical expe­ rience with the analysis of designed experiments. My intent is to provide enough theory to understand the analysis of standard and non-standard experimental designs. Concepts are motivated with data from real experi­ ments gathered during over a dozen years of statistical consulting with scientists in the College of Agriculture and Life Sciences, augmented by teaching statistics courses on the 'Theory and Practice of Linear Mod­ els' (Stat 850) and 'Statistical Consulting' (Stat 998) at the University of Wisconsin-Madison. Students and colleagues have taught me much about what I tend to assume and about how to blend theory and practice in the classroom. I had hoped to find a textbook geared to this subject. I began by using Scheffe's Analysis of Variance to establish the theoretical framework, and Milliken and Johnson's Analysis of Messy Data to provide the practical guidelines. What I wanted was half-way in-between. Searle's Linear Models for Unbalanced Data has much the flavor I desired, but seems too detailed in some aspects for the classroom setting. Several other texts have noteworthy strengths, in particular Neter, Wasserman and Kutner's Applied Linear Statistical Models {3rd edn., Irwin, Boston, 1990), but do not cover the material with my preferred emphasis. This book can be used as a first or second semester text on linear models.

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