Generalized linear models: with applications in engineering and the sciences

This new edition continues to provide an introduction to the theoretical foundations and key applications of generalized linear models. Maintaining the same nontechnical approach, the Second Edition is now more tutorial in nature with added examples, exercises, and step-by-step analyses that employ the latest software applications. Coverage begins with a preliminary chapter on GLMs and the types of problems that support their use. Subsequent chapters delve into linear and nonlinear regression models; logistics and poisson regression; generalized estimating equations. Newly-added topics include experimental designs for GLMs, designs for regression models, optimal designs for nonlinear regression models, and random effects in GLMs. The authors now employ popular JMP and MINITAB softwares to compute and analyze the presented examples, while also using the SAS approach utilized in the previous edition.RAYMOND H. MYERS, PhD, is Professor Emeritus in the Department of Statistics at Virginia Polytechnic Institute and State University. DOUGLAS C. MONTGOMERY,PhD, is Professor in the Department of Industrial Engineering at Arizona State University. He has traveled and published extensively; serves on numerous local, regional, and national committees; and has his own engineering consultinggroup. G. GEOFFREY VINING, PhD, is Professor in the Department of Statistics at Virginia Polytechnic Institute and State University. A fellow of both the ASA and ASQ, Dr. Vining focuses his research in the areas of experimental design, response surface methodology, and statistical process control. TIMOTHY ROBINSON, PhD, is Associate Professor in the Department of Statistics at the University of Wyoming, where he conducts research on design of experiments, response surface methodology, and categorical data analysis.

• ISBN: 978-0-470-45463-3
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 496
• Fecha Publicación: 02/04/2010
• Nº Volúmenes: 1
• Idioma: Inglés