Price loading...

Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory (De Gruyter Textbook)

Writing

Price data last checked 108 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book delves into dynamic systems modeling, probability theory, stochastic processes, estimation theory, Kalman filters, and game theory. While many excellent books offer insights into these topics, our proposed book takes a distinctive approach, integrating these diverse subjects to address uncertainties and demonstrate their practical applications. The author aims to cater to a broad spectrum of readers. The book features approximately 150 meticulously explained solved examples and numerous simulation programs, each with detailed explanations. "Modelling Stochastic Uncertainties" provides a comprehensive understanding of uncertainties and their implications across various domains. Here is a brief exploration of the chapters: Chapter 1: Introduces the book's philosophy and the manifestation of uncertainties. Chapter 2: Lays the mathematical foundation, focusing on probability theory and stochastic processes, covering random variables, probability distributions, expectations, characteristic functions, and limits, along with various stochastic processes and their properties. Chapter 3: Discusses managing uncertainty through deterministic and stochastic dynamic modeling techniques. Chapter 4: Explores parameter estimation amid uncertainty, presenting key concepts of estimation theory. Chapter 5: Focuses on Kalman filters for state estimation amid uncertain measurements and Gaussian additive noise. Chapter 6: Examines how uncertainty influences decision-making in strategic interactions and conflict management. Overall, the book provides a thorough understanding of uncertainties, from theoretical foundations to practical applications in dynamic systems modeling, estimation, and game theory.

Product Specifications

Format: perfect
ASIN: 3111584704
Category: Books > Subjects > Reference > Writing
Domain: Amazon UK
Release Date: 18 November 2024
Listed Since: 16 September 2024

Barcode

No barcode data available

Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory (De Gruyter Textbook)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Stochastic Systems: Uncertainty Quantification and Propagation (Springer Series in Reliability Engineering)

Stochastic Processes, Estimation, and Control (Advances in Design and Control)

Modeling, Design, and Simulation of Systems with Uncertainties (Mathematical Engineering)

Uncertainty in Information Systems: An Introduction to Techniques and Applications (Advanced Topics in Computer Science)

Stochastic Finance: An Introduction in Discrete Time (De Gruyter Textbook)

Modeling and Inverse Problems in the Presence of Uncertainty (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Uncertainty Quantification and Stochastic Modeling with Matlab

Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics, 47)

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications: 46 (International Series in Operations Research & Management Science, 46)

Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)

Springer - Modeling, Design, and Simulation of Systems

Managing Safety of Heterogeneous Systems: Decisions under Uncertainties and Risks: 658 (Lecture Notes in Economics and Mathematical Systems, 658)

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics, 47)

Springer Linear Systems Control: Deterministic and Stochastic Methods

The Geometry of Uncertainty: The Geometry of Imprecise Probabilities (Artificial Intelligence: Foundations, Theory, and Algorithms)

Springer - Uncertainty Quantification and Predictive Science Book

Fundamentals of Stochastic Filtering: 60 (Stochastic Modelling and Applied Probability, 60)

Stochastic Methods for Flow in Porous Media: Coping with Uncertainties

Explorations in Monte Carlo Methods (Undergraduate Texts in Mathematics)

Elements of Stochastic Dynamics

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion: 15 (Studies in Systems, Decision and Control, 15)

Stochastic Modelling and Control (Monographs on Statistics and Applied Probability)

Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions