Summary: Presents the principles of statistical design and analysis for comparative scientific studies. The text emphasizes the research design process-the total effort in a study that includes development of the research hypothesis, the choice of treatment designed to address the research hypothesis, and the experiment design choice to facilitate data collection.
The principles are exemplified and demonstrated using a real case study introduced in Chapter 1.
New material includes coverage of Resolvable Block Designs, the Simultaneous Confidence Interval, the Generalized Linear Model, and the Taguchi Method.
Expanded discussion of advanced methodology for analysis choices, such as those for variance component estematia, mixed model software for split plots, and choices for covariance matrices for repeated measure.
Focus on research design provides a structural viewpoint for the researcher.
Large array of real data sets from a broad spectrum of scientific and technological fields, including life and agriculture sciences, engineering, industrial, and chemical research.
Excellent examples often based on actual research studies, are organized in an action-oriented style.
Consistent emphasis on data analysis of the design.
Interpretation is provided for each analysis.
Introduces a new modern approach to Simultaneous Statistical Inference. ...show less
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