Simultaneous Statistical Inference, Second Edition by Rupert G. Miller, Jr. is a comprehensive reference and textbook on statistical methods for simultaneous inference. Originally published in 1966, the book went out of print in 1973 and was later republished by Springer-Verlag with a review article on multiple comparisons from the Journal of the American Statistical Association. The second edition includes a new table of critical points for the studentized maximum modulus, which is more comprehensive than the original table by Pillai and Ramachandran. The book covers a wide range of statistical techniques for simultaneous inference, including methods for multiple comparisons, confidence intervals, and various statistical tests. It includes detailed descriptions of techniques such as the studentized range (Tukey), F projections (Scheffé), Bonferroni t statistics, and studentized maximum modulus. The book also discusses nonparametric techniques, regression techniques, and multivariate techniques. The book is structured with a detailed table of contents, including chapters on univariate techniques, regression techniques, nonparametric techniques, multivariate techniques, and miscellaneous techniques. Each chapter includes a cookbook-type description of the procedure, making it accessible to a wider audience. The book is intended to serve as both a reference and a textbook, suitable for students and practitioners in statistics. The book was supported by financial assistance from various organizations, including the National Science Foundation, the Office of Naval Research, and the National Institutes of Health. It was also supported by the universities of Johns Hopkins and Stanford. The book includes a detailed list of references, a bibliography, an author index, and a subject index. The book also includes an addendum with a new table of the studentized maximum modulus.Simultaneous Statistical Inference, Second Edition by Rupert G. Miller, Jr. is a comprehensive reference and textbook on statistical methods for simultaneous inference. Originally published in 1966, the book went out of print in 1973 and was later republished by Springer-Verlag with a review article on multiple comparisons from the Journal of the American Statistical Association. The second edition includes a new table of critical points for the studentized maximum modulus, which is more comprehensive than the original table by Pillai and Ramachandran. The book covers a wide range of statistical techniques for simultaneous inference, including methods for multiple comparisons, confidence intervals, and various statistical tests. It includes detailed descriptions of techniques such as the studentized range (Tukey), F projections (Scheffé), Bonferroni t statistics, and studentized maximum modulus. The book also discusses nonparametric techniques, regression techniques, and multivariate techniques. The book is structured with a detailed table of contents, including chapters on univariate techniques, regression techniques, nonparametric techniques, multivariate techniques, and miscellaneous techniques. Each chapter includes a cookbook-type description of the procedure, making it accessible to a wider audience. The book is intended to serve as both a reference and a textbook, suitable for students and practitioners in statistics. The book was supported by financial assistance from various organizations, including the National Science Foundation, the Office of Naval Research, and the National Institutes of Health. It was also supported by the universities of Johns Hopkins and Stanford. The book includes a detailed list of references, a bibliography, an author index, and a subject index. The book also includes an addendum with a new table of the studentized maximum modulus.