The book "Simultaneous Statistical Inference" by Rupert G. Miller, Jr., published in its second edition by Springer-Verlag, is a comprehensive resource on the topic of simultaneous statistical inference. The book covers various techniques and methods for making multiple comparisons and simultaneous confidence intervals, including normal univariate techniques, regression techniques, nonparametric techniques, and multivariate techniques. It also includes a review article on developments in multiple comparisons from 1966 to 1976, a new table of critical points for the studentized maximum modulus, and extensive bibliographic references. The author, Rupert G. Miller, Jr., aims to provide a unified and accessible reference for both students and practitioners in the field of statistics. The book is structured to be both a reference and a textbook, with detailed descriptions of each procedure and its applications.The book "Simultaneous Statistical Inference" by Rupert G. Miller, Jr., published in its second edition by Springer-Verlag, is a comprehensive resource on the topic of simultaneous statistical inference. The book covers various techniques and methods for making multiple comparisons and simultaneous confidence intervals, including normal univariate techniques, regression techniques, nonparametric techniques, and multivariate techniques. It also includes a review article on developments in multiple comparisons from 1966 to 1976, a new table of critical points for the studentized maximum modulus, and extensive bibliographic references. The author, Rupert G. Miller, Jr., aims to provide a unified and accessible reference for both students and practitioners in the field of statistics. The book is structured to be both a reference and a textbook, with detailed descriptions of each procedure and its applications.