Modern Experimental Design

<b>A complete and well-balanced introduction to modern experimental design</b> <p>Using current research and discussion of the topic along with clear applications, <i>Modern Experimental Design</i> highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications.</p> <p>Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of:</p> <ul> <li>Conditional effects analysis as a proposed general method of analysis</li> <li>Multiresponse optimization</li> <li>Space-filling designs, including Latin hypercube and uniform designs</li> <li>Restricted regions of operability and debarred observations</li> <li>Analysis of Means (ANOM) used to analyze data from various types of designs</li> <li>The application of available software, including Design-Expert, JMP, and MINITAB</li> </ul> <p>This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, <i>Modern Experimental Design</i> works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.</p>