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Fundamentals of Stochastic Networks

Fundamentals of Stochastic Networks

Fundamentals of Stochastic Networks

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An interdisciplinary approach to understanding queueing and graphical networks In today's era of int...

Variational Methods for Engineers with Matlab

Variational Methods for Engineers with Matlab

Variational Methods for Engineers with Matlab

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This book is issued from a 30 years’ experience on the presentation of variational methods to succes...

An Introduction to Numerical Methods and Analysis

An Introduction to Numerical Methods and Analysis

An Introduction to Numerical Methods and Analysis

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Praise for the First Edition «. . . outstandingly appealing with regard to its style, contents, cons...

Panel Data Analysis using EViews

Panel Data Analysis using EViews

Panel Data Analysis using EViews

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A comprehensive and accessible guide to panel data analysis using EViews software This book explores...

Discrete-time Asset Pricing Models in Applied Stochastic Finance

Discrete-time Asset Pricing Models in Applied Stochastic Finance

Discrete-time Asset Pricing Models in Applied Stochastic Finance

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Stochastic finance and financial engineering have been rapidly expanding fields of science over the...

Examples and Problems in Mathematical Statistics

Examples and Problems in Mathematical Statistics

Examples and Problems in Mathematical Statistics

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Provides the necessary skills to solve problems in mathematical statistics through theory, concrete...

Tree-based Graph Partitioning Constraint

Tree-based Graph Partitioning Constraint

Tree-based Graph Partitioning Constraint

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Combinatorial problems based on graph partitioning enable us to mathematically represent and model m...

Mathematical Statistics and Stochastic Processes

Mathematical Statistics and Stochastic Processes

Mathematical Statistics and Stochastic Processes

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Generally, books on mathematical statistics are restricted to the case of independent identically di...

Introduction to Statistics Through Resampling Methods and R

Introduction to Statistics Through Resampling Methods and R

Introduction to Statistics Through Resampling Methods and R

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A highly accessible alternative approach to basic statistics Praise for the First Edition: «Certainl...

A Classical Introduction to Galois Theory

A Classical Introduction to Galois Theory

A Classical Introduction to Galois Theory

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Explore the foundations and modern applications of Galois theory Galois theory is widely regarded as...

Engineering Principles of Combat Modeling and Distributed Simulation

Engineering Principles of Combat Modeling and Distributed Simulation

Engineering Principles of Combat Modeling and Distributed Simulation

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Explore the military and combat applications of modeling and simulation Engineering Principles of Co...

Numerical Analysis of Partial Differential Equations

Numerical Analysis of Partial Differential Equations

Numerical Analysis of Partial Differential Equations

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A balanced guide to the essential techniques for solving elliptic partial differential equations Num...

Six Sigma Quality Improvement with Minitab

Six Sigma Quality Improvement with Minitab

Six Sigma Quality Improvement with Minitab

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This book aims to enable readers to understand and implement, via the widely used statistical softwa...

The Visualization of Spatial Social Structure

The Visualization of Spatial Social Structure

The Visualization of Spatial Social Structure

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How do you draw a map of 100,000 places, of more than a million flows of people, of changes over tim...

Service Science

Service Science

Service Science

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A comprehensive treatment on the use of quantitative modeling for decision making and best practices...

Multilevel Statistical Models

Multilevel Statistical Models

Multilevel Statistical Models

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Throughout the social, medical and other sciences the importance of understanding complex hierarchic...

Revolutions of Geometry

Revolutions of Geometry

Revolutions of Geometry

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Guides readers through the development of geometry and basic proof writing using a historical approa...

Fundamentals of Actuarial Mathematics

Fundamentals of Actuarial Mathematics

Fundamentals of Actuarial Mathematics

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This book provides a comprehensive introduction to actuarial mathematics, covering both deterministi...

Understanding Computational Bayesian Statistics

Understanding Computational Bayesian Statistics

Understanding Computational Bayesian Statistics

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A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid...

Bayesian Modeling Using WinBUGS

Bayesian Modeling Using WinBUGS

Bayesian Modeling Using WinBUGS

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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using...

Statistical Methods for Fuzzy Data

Statistical Methods for Fuzzy Data

Statistical Methods for Fuzzy Data

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Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently...

Bayesian Analysis for the Social Sciences

Bayesian Analysis for the Social Sciences

Bayesian Analysis for the Social Sciences

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Bayesian methods are increasingly being used in the social sciences, as the problems encountered len...

Analysis of Financial Time Series

Analysis of Financial Time Series

Analysis of Financial Time Series

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This book provides a broad, mature, and systematic introduction to current financial econometric mod...

The Elements of Cantor Sets. With Applications

The Elements of Cantor Sets. With Applications

The Elements of Cantor Sets. With Applications

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A systematic and integrated approach to Cantor Sets and their applications to various branches of ma...

Data Analysis. What Can Be Learned From the Past 50 Years

Data Analysis. What Can Be Learned From the Past 50 Years

Data Analysis. What Can Be Learned From the Past 50 Years

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This book explores the many provocative questions concerning the fundamentals of data analysis. It i...

Markov Chains. Theory and Applications

Markov Chains. Theory and Applications

Markov Chains. Theory and Applications

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Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...

Causality in a Social World. Moderation, Mediation and Spill-over

Causality in a Social World. Moderation, Mediation and Spill-over

Causality in a Social World. Moderation, Mediation and Spill-over

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Causality in a Social World introduces innovative new statistical research and strategies for invest...

Survival Analysis. Models and Applications

Survival Analysis. Models and Applications

Survival Analysis. Models and Applications

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Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent d...

Fractal Geometry. Mathematical Foundations and Applications

Fractal Geometry. Mathematical Foundations and Applications

Fractal Geometry. Mathematical Foundations and Applications

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The seminal text on fractal geometry for students and researchers: extensively revised and updated w...

Multistate Systems Reliability Theory with Applications

Multistate Systems Reliability Theory with Applications

Multistate Systems Reliability Theory with Applications

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Most books in reliability theory are dealing with a description of component and system states as bi...

A Primer on Experiments with Mixtures

A Primer on Experiments with Mixtures

A Primer on Experiments with Mixtures

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The concise yet authoritative presentation of key techniques for basic mixtures experiments Inspired...

Statistical Inference for Fractional Diffusion Processes

Statistical Inference for Fractional Diffusion Processes

Statistical Inference for Fractional Diffusion Processes

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Stochastic processes are widely used for model building in the social, physical, engineering and lif...

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