ENRIQUE del CASTILLO is an Associate Professor in the Department of Industrial Manufacturing and Engineering at the Pennsylvania State University.

"It is definitely a book that I would gladly buy, and one that I would have no hesitation in recommending to fellow professionals." (IIE Transactions-Quality and Reliability Engineering, November 2005) "…I think that this is a great book that is well worth its price…from those working in the manufacturing area…this book is a valuable resource." (Journal of the American Statistical Association, June 2004)"...presents process adjustment techniques based on EPC methods and discusses them from the perspective of product quality control..." (SciTech Book News, Vol. 26, No. 2, June 2002)"...the author attempts consolidation of [controlling process variables and monitoring product attributes] along technical tools...this book successfully achieves the intended purpose…useful…easy-to-read..." (Mathematical Reviews, 2003a)"I like this book.... If you are a statistician interested in EPC or a process control engineer wondering how SPC relates to EPC, then this book is for you." (Technometrics, Vol. 45, No. 1, February 2003)"...I like this book very much and it should make a useful addition to both academic and industrial provider libraries..." (Measurement & Control, February 2003)"...fills the need for a comprehensive presentation of control theory at an elementary level..." (Zentralblatt Math, Vol.1002, No.02, 2003)

• Preface. Process Monitoring versus Process Adjustment. Modeling Discrete-Time Dynamical Processes. ARIMA Time-Series Models. Transfer Function Modeling. Optimal Feedback Controllers. Discrete-Time PID Controllers. EWMA Feedback Controllers and the Run-to-Run Control Problem. Recursive Estimation and Adaptive Control. Analysis and Adjustment of Multivariate Processes. Data Files and Spreadsheets Used in the Book. Bibliography. Index.

ENRIQUE del CASTILLO is an Associate Professor in the Department of Industrial Manufacturing and Engineering at the Pennsylvania State University.

"It is definitely a book that I would gladly buy, and one that I would have no hesitation in recommending to fellow professionals." (IIE Transactions-Quality and Reliability Engineering, November 2005) "…I think that this is a great book that is well worth its price…from those working in the manufacturing area…this book is a valuable resource." (Journal of the American Statistical Association, June 2004)"...presents process adjustment techniques based on EPC methods and discusses them from the perspective of product quality control..." (SciTech Book News, Vol. 26, No. 2, June 2002)"...the author attempts consolidation of [controlling process variables and monitoring product attributes] along technical tools...this book successfully achieves the intended purpose…useful…easy-to-read..." (Mathematical Reviews, 2003a)"I like this book.... If you are a statistician interested in EPC or a process control engineer wondering how SPC relates to EPC, then this book is for you." (Technometrics, Vol. 45, No. 1, February 2003)"...I like this book very much and it should make a useful addition to both academic and industrial provider libraries..." (Measurement & Control, February 2003)"...fills the need for a comprehensive presentation of control theory at an elementary level..." (Zentralblatt Math, Vol.1002, No.02, 2003)

• Preface. Process Monitoring versus Process Adjustment. Modeling Discrete-Time Dynamical Processes. ARIMA Time-Series Models. Transfer Function Modeling. Optimal Feedback Controllers. Discrete-Time PID Controllers. EWMA Feedback Controllers and the Run-to-Run Control Problem. Recursive Estimation and Adaptive Control. Analysis and Adjustment of Multivariate Processes. Data Files and Spreadsheets Used in the Book. Bibliography. Index.

ENRIQUE del CASTILLO is an Associate Professor in the Department of Industrial Manufacturing and Engineering at the Pennsylvania State University.

"It is definitely a book that I would gladly buy, and one that I would have no hesitation in recommending to fellow professionals." (IIE Transactions-Quality and Reliability Engineering, November 2005) "…I think that this is a great book that is well worth its price…from those working in the manufacturing area…this book is a valuable resource." (Journal of the American Statistical Association, June 2004)"...presents process adjustment techniques based on EPC methods and discusses them from the perspective of product quality control..." (SciTech Book News, Vol. 26, No. 2, June 2002)"...the author attempts consolidation of [controlling process variables and monitoring product attributes] along technical tools...this book successfully achieves the intended purpose…useful…easy-to-read..." (Mathematical Reviews, 2003a)"I like this book.... If you are a statistician interested in EPC or a process control engineer wondering how SPC relates to EPC, then this book is for you." (Technometrics, Vol. 45, No. 1, February 2003)"...I like this book very much and it should make a useful addition to both academic and industrial provider libraries..." (Measurement & Control, February 2003)"...fills the need for a comprehensive presentation of control theory at an elementary level..." (Zentralblatt Math, Vol.1002, No.02, 2003)

• Preface. Process Monitoring versus Process Adjustment. Modeling Discrete-Time Dynamical Processes. ARIMA Time-Series Models. Transfer Function Modeling. Optimal Feedback Controllers. Discrete-Time PID Controllers. EWMA Feedback Controllers and the Run-to-Run Control Problem. Recursive Estimation and Adaptive Control. Analysis and Adjustment of Multivariate Processes. Data Files and Spreadsheets Used in the Book. Bibliography. Index.