Raymond H. Myers, Ph D, is Professor Emeritus in the
Department of Statistics at Virginia Polytechnic Institute and
State University. He has more than forty years of academic
experience in the areas of experimental design and analysis,
response surface analysis, and designs for nonlinear models. A
Fellow of the American Statistical Society, Dr. Myers is the
coauthor of numerous books including Response Surface
Methodology: Process and Product Optimization Using Designed
Experiments, Third Edition (Wiley).
Douglas C. Montgomery, Ph D, is Regents” Professor of
Industrial Engineering and Statistics at Arizona State University.
Dr. Montgomery has more than thirty years of academic and
consulting experience and has devoted his research to engineering
statistics, specifically the design and analysis of experiments. He
has authored or coauthored numerous journal articles and twelve
books, including Response Surface Methodology: Process and
Product Optimization Using Designed Experiments, Third Edition;
Introduction to Linear Regression Analysis, Fourth Edition; and
Introduction to Time Series Analysis and Forecasting, all
published by Wiley.
G. Geoffrey Vining, Ph D, is Professor in the Department
of Statistics at Virginia Polytechnic Institute and State
University. A Fellow of both the American Statistical Association
and the American Society for Quality, Dr. Vining is also the
coauthor of Introduction to Linear Regression Analysis, Fourth
Edition (Wiley).
Timothy J. Robinson, Ph D, is Associate Professor in the
Department of Statistics at the University of Wyoming. He has
written numerous journal articles in the areas of design of
experiments, response surface methodology, and applications of
categorical data analysis in engineering, medicine, and the
environmental sciences.
1 Електронні книги від Timothy J. Robinson
Raymond H. Myers & Douglas C. Montgomery: Generalized Linear Models
Praise for the First Edition ‘The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy …
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