Proceedings of the 21st Summer Research Institute of the Australian Mathematical Society, held at the University of Tasmania, Hobart, Australia, January 12–February 6, 1981. Edited by R. Lidi. Published as Contemporary Mathematics, volume 9. ISBN shown in the book: 0-8218-5009-1.
This book provides a comprehensive introduction to the theory and practice of time series analysis. It covers fundamental techniques and models used for analyzing data collected over time, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It is designed as an accessible textbook for undergraduate and postgraduate students,…
This classic text provides a comprehensive overview of the theory and methods of simultaneous statistical inference, including multiple comparisons, Scheffé's method, and the Bonferroni inequality. It is a fundamental resource for researchers dealing with multiple testing problems.
This textbook provides a comprehensive introduction to biostatistics with a strong focus on medical and health sciences applications. It is written specifically for medical students, postgraduate trainees, and research workers. The book covers fundamental statistical concepts, data presentation, probability, sampling methods, tests of significance, correlation and regression, vital statistics…
This volume is part of the Encyclopedia of Environmetrics, a comprehensive reference covering statistical methods used in environmental science. It includes articles on environmental data analysis, modeling, monitoring, and statistical techniques applied to environmental studies.
This book presents statistical techniques used for detecting and measuring environmental contamination. It focuses on environmental monitoring, data analysis, and statistical methods applied in pollution studies.
Statistical Methods in Biology: Design and Analysis of Experiments and Regression provides a thorough introduction to statistical techniques used in biological research. It emphasizes the design of experiments, analysis of variance, regression methods, and model fitting. The book includes practical examples, real datasets, and guides the reader through statistical reasoning and data interpretat…