This introduction can be used, at the beginning graduate level, for a one-semester course on probability theory or for self-direction without benefit of a forma

Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results centr

Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical des

This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales,

This is a masterly introduction to the modern, and rigorous, theory of probability. The author emphasises martingales and develops all the necessary measure the