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Introduction to Stochastic Processes and Simulation
About This Book
Mastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the underlying mathematics. This book offers an introduction to the processes linked to the fluctuations in chance and the use of numerical methods to approach solutions that are difficult to obtain through an analytical approach. It takes classic examples of inventory and queueing management, and addresses more diverse subjects such as equipment reliability, genetics, population dynamics, physics and even market finance. It is addressed to those at Masters level, at university, engineering school or management school, but also to an audience of those in continuing education, in order that they may discover the vast field of decision support.
Frequently asked questions
Information
Part 1
Basic Mathematical Concepts
1
Basic Reminders of Probability
1.1. Chance
- ā āpower regarded as the cause of apparently incidental or inexplicable eventsā;
- ā āunforeseen or unforeseeable circumstances, the effects of which may be favorable or unfavorable to someoneā.
- ā it introduces the concept of causality according to which an inexplicable event would nevertheless be due to an unknown cause; knowing the cause and the mechanisms that result from it, one could (theoretically) explain the inexplicable. Thus, if a passerby is hit on the head by a flowerpot that has fallen from a window after a gust of wind, it is...
Table of contents
- Cover
- Table of Contents
- Preface
- Part 1: Basic Mathematical Concepts
- Part 2: Stochastic Processes
- Part 3: Simulation
- References
- Index
- End User License Agreement