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Stochastic Modeling and Mathematical Statistics

Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling;

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Stochastic Differential Equations

of the mathematical essentials needed to understand and apply stochastic growth models. In addition, the book describes deterministic and;

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Financial And Actuarial Statistics

actuarial industries. Consequently, practitioners and students must acquire strong mathematical and statistical backgrounds in order to have;

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Financial and Actuarial Statistics

financial and actuarial industries. Consequently, practitioners and students must acquire strong mathematical and statistical backgrounds in order;

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Modeling and Management of Stochastic Systems

crucial role in a number of scientific and applied disciplines including engineering, finance, communications and medicine. Stochastic modeling;

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Mathematical Statistics and Stochastic Processes

second case is very important for today s practitioners. Mathematical Statistics and Stochastic Processes is based on decision theory and;

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Modeling Uncertainty

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues;

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Mathematical Modeling and Computational Tools

, stochastic modelling and machine learning. It introduces the mathematical modeling of complicated scientific problems, discusses micro- and nanoscale;

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Recent Trends in Mathematical Modeling and High Performance Computing

control High performance and scientific computing Stochastic models and statistics Recent Trends in Mathematical;

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Mathematical Statistics

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing;

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Stochastic Modeling in Broadband Communications Systems

. Stochastic Modeling in Broadband Communications Systems provides a concise overview of stochastic models and mathematical techniques for solving;

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Stochastic Modeling and Optimization

This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial;

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Limit Theorems for Stochastic Processes

the point of view of semimartingale theory. It emphasizes results that are useful for mathematical theory and mathematical statistics;

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Analytical and Stochastic Modeling Techniques and Applications

This book constitutes the refereed proceedings of the 18th International Conference on Analytical and Stochastic Modeling Techniques and;

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Handbook of High-Frequency Trading and Modeling in Finance

. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a;

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Stochastic Modeling and Analysis of Telecom Networks

, performances and comparison of systems. The authors propose a comprehensive mathematical construction of the foundations of stochastic network theory;

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Uncertainty Quantification

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their;

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Performance Modeling and Engineering

have been evolving both in their methodologies and in the areas in which they are applied. It is noteworthy that various mathematical;

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Selected Topics in Cancer Modeling

This collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and;

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Mathematical Modeling

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students;

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Mathematical Modeling

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students;

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Mathematical Modeling in Economics and Finance

. Students taking a course from Mathematical Modeling in Economics and Finance will come to understand some basic stochastic processes and the;

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Intro To Probability & Mathemat

(stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward;

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Mathematical Methods in Survival Analysis, Reliability and Quality of Life

Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes;

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Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected;

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