This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete...(展开全部)

The most widely-used textbook for the communication theory course, A First Look at Communication Theory analyzes the major communication theories at a level that is appropriate for both lower- and upper-level courses. The 32 theories represented in the text reflect a mix of foundational and recent scholarship and strike a balance of scientific and interpretive approaches.

The tenth edition of A First Look at Communication Theory justifies again the program’s enduring popularity. Griffin, joined by colleagues Andrew Ledbetter and Glenn Sparks, encourages students who are encountering the field for the first time to tackle theories without fear. The authors introduce 32 diverse theories that are a mix of foundational and recent scholarship and, wi...(展开全部)

Comprising the major theorems of probability theory and the measure theoretical foundations of the subject, the main topics treated here are independence, interchangeability, and martingales. Particular emphasis is placed upon stopping times, both as tools in proving theorems and as objects of interest themselves. No prior knowledge of measure theory is assumed and a unique fea...(展开全部)

This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edition adds material related to mathematical finance as well as expansions on stable laws and martingales. From the reviews: "Almost thirty years after its first edition, this charm...(展开全部)

This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edition adds material related to mathematical finance as well as expansions on stable laws and martingales. From the reviews: "Almost thirty years after its first edition, this charm...(展开全部)

Rarely has anyone photographed reality in such an unprettified way as Boris Mikhailov. He captures the unadorned and the natural; in pictures devoid of aesthetic exhaltation, he concentrates on people and their living conditions. On his journeys through Russia, Germany, and his Ukrainian homeland, Mikhailov has equally observed the poor, the well-to-do, the outcasts, and the ho...(展开全部)

Rarely has anyone photographed reality in such an unprettified way as Boris Mikhailov. He captures the unadorned and the natural; in pictures devoid of aesthetic exhaltation, he concentrates on people and their living conditions. On his journeys through Russia, Germany, and his Ukrainian homeland, Mikhailov has equally observed the poor, the well-to-do, the outcasts, and the ho...(展开全部)

This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is t...(展开全部)

Modern and measure-theory based, this text is intended primarily for the first-year graduate course in probability theory. The book focuses attention on examples while developing theory. There is an emphasis on results that can be used to solve problems in the hopes that those who apply probability to work will find this a useful reference.