Sheldon M. Ross ist ein renommierter Autor, dessen Werk die Gebiete der Statistik und angewandten Wahrscheinlichkeit maßgeblich prägt. Seine Schriften zeichnen sich durch tiefe Einblicke und einen umfassenden Ansatz zur Bewältigung komplexer Probleme aus. Ross konzentriert sich auf die Erläuterung theoretischer Konzepte und deren praktische Anwendung in Ingenieur- und Wissenschaftsbereichen. Seine umfangreiche Forschung und Publikationen haben wesentlich zur Weiterentwicklung dieser Fachgebiete beigetragen.
Prägnant geschrieben, und mit vielen Beispielen führt dieses Lehrbuch in die beschreibende und induktive Statistik ein. Ausgewählte Beispiele veranschaulichen die Konzepte und Rechenmethoden und zeigen deren breite Anwendungsmöglichkeiten. Mit CD-ROM, die Software zu den wichtigsten Verteilungen und Tests enthält.
Concise advanced-level introduction to stochastic processes that frequently arise in applied probability. Largely self-contained text covers Poisson process, renewal theory, Markov chains, inventory theory, Brownian motion and continuous time optimization models, much more. Problems and references at chapter ends. "excellent introduction." -- Journal of the American Statistical Association. Bibliography. 1970 edition.
A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.
Focusing on the interplay between probability and statistical problems, this edition enhances intuitive understanding for engineers and scientists. It features real data from various fields, including life sciences and business, complemented by diverse exercises and examples. End-of-chapter reviews emphasize key concepts and practical risks. The latest edition includes insights on Big Data and R programming. Ideal for upper-level undergraduates, graduates, and professionals, it serves as a comprehensive reference for foundational content and applications in engineering and science.
This textbook serves as a comprehensive guide to the fundamentals of option pricing, catering to both professional traders and undergraduate finance students. The third edition includes updated content that enhances understanding of essential concepts and practical applications in the field. With a focus on clarity and accessibility, it provides valuable insights for those looking to deepen their knowledge of financial instruments and trading strategies.
Focusing on non-calculus topics in modern applied mathematics, this text is tailored for students in mathematics, computer science, operations research, statistics, and engineering. Sheldon Ross explores areas such as probability, mathematical finance, and linear programming, providing engaging examples like options pricing and tournaments. The book is designed for readers with pre-calculus knowledge, making complex concepts accessible while highlighting intriguing applications not typically found in standard finite mathematics courses.
The book offers a thorough foundation in probability models, making it essential for students in various fields such as engineering, computer science, and social sciences. Renowned for its practical applications, it features a wealth of exercises and real-world examples, guiding readers from basic concepts to advanced topics. This comprehensive course text has been a trusted resource for four decades, recognized for its educational value and efficacy in teaching probability.
Focusing on the practical application of computerized simulation studies, this edition guides readers through constructing and analyzing simulations to interpret real-world phenomena. It covers essential techniques for generating random numbers and using them to model stochastic behavior over time. The book emphasizes the importance of statistical methods for analyzing simulated data and validating models, making it a valuable resource for actuaries, engineers, and computer scientists seeking effective solutions across various fields.
