Modern Experimental Design

This volume covers the first full year of experimental design topics at the beginning graduate level with a well balanced, down-to-earth, and complete presentation, covering both design and analysis equally. Mathematical rigor is kept to a minimum with up-to-date discussions on hard-to-change factors, the selection of factor levels in terms of physical units, designs with more than one response variable, and multi-response optimization are also included due to the intense applicability to the industrial sector.

Suitable for use as either an undergraduate or graduate text, depending on the audience, this book covers a wide range of topics, including some that have received increased attention in recent years, such as hard-to-change factors, uniform designs, multiple response optimization, and Analysis of Means (ANOM). Conditional effects are emphasized and advocated for the first time as a routine and important method of analysis. There is a large number of cited references and extensive discussions of software capabilities, with considerable illustrative use of Design-Expert, in particular, JMP, and Minitab. 

Keywords: MATHEMATICS / Probability & Statistics / General MAT029000