| Contents Notes |
pt. 1. The fundamentals. Introduction and use of the handbook / Harrison M. Wadsworth, Jr. -- Summarization and interpretation of data / Harrison M. Wadsworth, Jr. -- Graphic methods for quality improvement / A. Blanton Godfrey. pt. 2. Basic statistical methods. Probability distributions and statistical inference / Harrison M. Wadsworth, Jr. -- Statistical intervals / Gerald J. Hahn -- Selection, fitting, and testing statistical models / Samuel S. Shapiro. pt. 3. Intermediate methods. Statistical process control / William H. Woodall and Benjamin M. Adams -- Acceptance sampling / Harrison M. Wadsworth, Jr. -- Analysis and presentation of reliability data / Jeffrey H. Hooper and Sigmund J. Amster -- Survey sampling methods / Keith R. Eberhardt -- Bayesian analysis / Thomas W. Calvin -- Nonparametric statistics / Jean Dickinson Gibbons -- Discrete-event computer simulation / Jerry Banks, David Goldsman, and John S. Carson, II -- Linear regression / Thomas P. Ryan -- Design and analysis of experiments / Peter R. Nelson. pt. 4. Advanced statistical concepts. Multicollinearity and biased estimation in regression / Douglas C. Montgomery, Elizabeth A. Peck, and James R. Simpson -- Robust estimation and identifying outliers / Peter J. Rousseeuw -- Nonlinear regression / James J. Swain -- Time series analysis / Frank B. Alt, Ken Hung, and Lap-Ming Wun -- Robust design methods / Raghu N. Kacker and Subir Ghosh -- Multivariate quality control / Frank B. Alt, Nancy D. Smith, and Kamlesh Jain. |
