Applied Probability: From Random Experiments to Random Sequences and Statistics

This textbook covers probability and statistical estimation,with a focus on applications,and includes illustrations from various applied fields. It is written in an accessible yet rigorous style and is suitable for advanced undergraduate students in mathematics and graduate students in applied mathematics and statistics.

Format: Hardback
Length: 253 pages
Publication date: 06 May 2022
Publisher: Springer Nature Switzerland AG

This comprehensive textbook delves into the fundamental principles of probability and statistical estimation, catering to a wide range of applications. The pedagogical approach follows a progressive trajectory, commencing with the most classical formulas of probability theory and gradually advancing to encompass the asymptotics of independent random sequences and an introduction to inferential statistics. To ensure self-sufficiency, essential concepts from measure theory are incorporated. Extensive illustrations drawn from diverse fields such as information theory and reliability theory enrich the content. Each chapter includes numerous examples and exercises, accompanied by comprehensive solutions, fostering a deeper understanding of the subject matter. Written in a clear and concise style, the book is tailored for advanced undergraduate students in mathematics, as well as graduate students in applied mathematics and statistics. Its interdisciplinary appeal extends to students and researchers in fields such as computer science, engineering, biology, physics, and economics, who seek a practical introduction to probability modeling of random phenomena.

Weight: 565g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030979621
Edition number: 1st ed. 2022