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Distributions in Stochastic Network Models

analysed stochastic network models are aggregated systems of elements in random environments. To construct and to analyse a large number;

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Performance Modeling, Stochastic Networks, and Statistical Multiplexing

also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to;

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Citation Analysis and Dynamics of Citation Networks

This book deals with the science of science by applying network science methods to citation networks and uniquely presents a physics;

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Introduction to Probability: Models and Applications

random, continuous random, and stochastic independence-multivariate random variables; transformations of random variables; covariance-correlation;

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Probability

it within a framework for creating models of random phenomena. The author focuses on the synthesis of stochastic models concurrent with the;

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Asset Price Dynamics, Volatility, and Prediction

of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics;

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Univariate Discrete Distributions

Poisson distributions. New derivations of discrete distributions via stochastic processes and random walks are introduced without unnecessarily;

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Introduction To Bayesian Econometrics

regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also;

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Systems Evolutionary Biology

Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems;

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Introduction to Bayesian Econometrics

semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new;

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Probability, Statistics, and Stochastic Processes for Engineers and Scientists

probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects;

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Probability, Statistics, and Stochastic Processes for Engineers and Scientists

probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects;

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Optimal Stochastic Scheduling

Many interesting and important results on stochastic scheduling problems have been developed in recent years, with the aid of probability;

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Introduction to Queueing Systems with Telecommunication Applications

systems with applications. The mathematical background is a self-containing introduction to the stochastic processes of the later studied queueing;

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Introduction to Queueing Systems with Telecommunication Applications

systems with applications. The mathematical background is a self-containing introduction to the stochastic processes of the later studied queueing;

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A Column Generation Approach For Stochastic Optimization Problems

methods that take uncertainty into account can lead to significant reductions in cost. This book investigates the use of stochastic optimization;

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Stochastic Optimal Transportation

In this book, the optimal transportation problem (OT) is described as a variational problem for absolutely continuous stochastic processes;

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Control and System Theory of Discrete-Time Stochastic Systems

and communications networks, and power systems with fluctuating power flows. The focus of the book is a stochastic control system defined;

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Stochastic Geometry for Wireless Networks

Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will;

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Financial And Actuarial Statistics

statistics for a collection of stochastic status models The book presents a unified approach to both financial and actuarial modeling through the;

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Financial and Actuarial Statistics

, and Gompertz and Makeham distributions Sections on the concept of actuarial statistics for a collection of stochastic status models;

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Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

This book analyzes stochastic evolutionary models under the impulse of diffusion, as well as Markov and semi-Markov switches. Models are;

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Stochastic Biomathematical Models

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems;

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Mathematical Models for Systems Reliability

discussing the Poisson process and its associated probability laws. It then uses a number of stochastic models to provide a framework for life length;

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Essays in Honor of Peter C. B. Phillips

distributions of IV estimates when some of the instruments are endogenous, the use of stochastic dominance techniques to examine conditional wage;

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Reconstructing Macroeconomics

discuss stochastic dynamic and combinatorial aspects of interactions among them. In mainstream macroeconomics sound microfoundations for;

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Reconstructing Macroeconomics

discuss stochastic dynamic and combinatorial aspects of interactions among them. In mainstream macroeconomics sound microfoundations for;

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