In elaborating the ninth edition of this book, the main interest of the authors was not only to include new material, but to provide clarity and better exposure, as well as to preserve the balance between theory and applications.
This classic text provides a rigorous introduction to probability theory and basic statistical inference, with a unique balance between theory and methodology. Interesting and relevant applications with real data from current studies, showing how concepts and methods can be used to solve problems in the field. This review focuses on greater clarity and deeper understanding.
It is intended for students who have completed the equivalent of one semester of Differential and Integral Calculus. Linear algebra is useful but not indispensable.