The Sixth Edition of this very successful textbook, Introduction to Probability Models<$>, introduces elementary probability theory and stochastic processes. This book is particularly well-suited for those who want to see how probability theory can be applied to the study of phenomena in fields such as engineering, management science, the physical and social sciences, and operations research. The Sixth Edition includes additional exercises in every chapter and a new appendix with the answers to approximately 100 of the included exercises from throughout the text. Markov Chain Monte Carlo methods are presented in an entirely new section, along with new coverage of the Markov Chain cover times. New material will also be featured on K-records values and Ignatov’s theorem. This book is a worthwhile revision of Ross’s classic text.
You may also like
A First course in Ordinary Differential Equations provides a detailed introduction to the subject focusing on analytical methods to solve ODEs and theoretical...
Differential Equations with Boundary-Value Problems 8th Edition strikes a balance between the analytical, qualitative, and quantitative approaches to the study...
Finding and interpreting the solutions of differential equations is a central and essential part of applied mathematics. This book aims to enable the reader to...
- Elementary introduction to the Lebesgue integral by Steven G. Krantz PDF
- Organic Chemistry, 6th Edition By Marc Loudon PDF
- Finite Mathematics 7th Edition by Stefan Waner PDF
- Mathematical Physics with Partial Differential Equations by James Kirkwood PDF
- University Physics with Modern Physics 12th Edition by Hugh D. Young PDF