Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field, the chapters offer a balanced blend of methodology and applications. The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model, the third section covers designs with multiple factors (both treatment and blocking factors), and the fourth section presents optimal designs for generalized linear models, other nonlinear models, and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores "cross-cutting" issues relevant to all experimental designs, including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas. This comprehensive handbook equips new researchers with a broad understanding of the field’s numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing, the basic sciences, and any discipline that depends on controlled experimental investigation.
"The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for ...
These studies are often called gauge capability studies or gauge repeatability and reproducibility (R&R) studies because these are the components of variability that are of interest (for more discussion of gauge R&R studies, ...
Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics ...
Design and Analysis of Experiments
The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS.
Design and analysis of experiments/Hinkelmann.-v.1.
Inference and hierarchical modeling in the social sciences. Journal of Educational and Behavioral Statistics, 20, 115–147. Draper, N. R., & Smith, H. (1998). Applied regression analysis (3rd ed.). New York: Wiley. Duncan, T. E. ...
Besides this, the book also covers 22, 23, and 3n factorial experiments; two-stage, three-stage and mixed design with nested factors and factorial factors; different methods of orthogonal array design; and multivariate analysis of variance ...
The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.
Springer Texts in Statistics (continued from previous page) McPherson McPherson Mueller Nguyen and Rogers Nguyen and Rogers Noether Nolan and Speed Peters Pfeiffer Pitman Rawlings, Pantula, and Dickey Robert Robert and Casella Santner ...