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Fundamentals of Stochastic Networks
Fundamentals of Stochastic Networks
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
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
Praise for the First Edition «. . . outstandingly appealing with regard to its style, contents, cons...
Panel Data Analysis using EViews
Panel Data Analysis using EViews
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
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
Provides the necessary skills to solve problems in mathematical statistics through theory, concrete...
Tree-based Graph Partitioning Constraint
Tree-based Graph Partitioning Constraint
Combinatorial problems based on graph partitioning enable us to mathematically represent and model m...
Mathematical Statistics and Stochastic Processes
Mathematical Statistics and Stochastic Processes
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
A highly accessible alternative approach to basic statistics Praise for the First Edition: «Certainl...
Solutions Manual to accompany Introduction to Abstract Algebra, 4e, So...
Solutions Manual to accompany Introduction to Abstract Algebra, 4e, Solutions Manual
An indispensable companion to the book hailed an «expository masterpiece of the highest didactic val...
A Classical Introduction to Galois Theory
A Classical Introduction to Galois Theory
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
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
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
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
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
A comprehensive treatment on the use of quantitative modeling for decision making and best practices...
Multilevel Statistical Models
Multilevel Statistical Models
Throughout the social, medical and other sciences the importance of understanding complex hierarchic...
Revolutions of Geometry
Revolutions of Geometry
Guides readers through the development of geometry and basic proof writing using a historical approa...
Fundamentals of Actuarial Mathematics
Fundamentals of Actuarial Mathematics
This book provides a comprehensive introduction to actuarial mathematics, covering both deterministi...
Understanding Computational Bayesian Statistics
Understanding Computational Bayesian Statistics
A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid...
Bayesian Modeling Using WinBUGS
Bayesian Modeling Using WinBUGS
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 data are not always precise numbers, or vectors, or categories. Real data are frequently...
Analyzing the Large Number of Variables in Biomedical and Satellite Im...
Analyzing the Large Number of Variables in Biomedical and Satellite Imagery
This book grew out of an online interactive offered through statcourse.com, and it soon became appar...
Bayesian Analysis for the Social Sciences
Bayesian Analysis for the Social Sciences
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
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
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
This book explores the many provocative questions concerning the fundamentals of data analysis. It i...
Financial Derivative and Energy Market Valuation. Theory and Implement...
Financial Derivative and Energy Market Valuation. Theory and Implementation in MATLAB
A road map for implementing quantitative financial models Financial Derivative and Energy Market Val...
Markov Chains. Theory and Applications
Markov Chains. Theory and Applications
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problem...
Design and Analysis of Experiments, Volume 3. Special Designs and Appl...
Design and Analysis of Experiments, Volume 3. Special Designs and Applications
Provides timely applications, modifications, and extensions of experimental designs for a variety of...
Paradigms of Combinatorial Optimization. Problems and New Approaches,...
Paradigms of Combinatorial Optimization. Problems and New Approaches, Volume 2
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three m...
Differential Equation Analysis in Biomedical Science and Engineering....
Differential Equation Analysis in Biomedical Science and Engineering. Ordinary Differential Equation Applications with R
Features a solid foundation of mathematical and computational tools to formulate and solve real-worl...
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 introduces innovative new statistical research and strategies for invest...
Survival Analysis. Models and Applications
Survival Analysis. Models and Applications
Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent d...
Introduction to Digital Systems. Modeling, Synthesis, and Simulation U...
Introduction to Digital Systems. Modeling, Synthesis, and Simulation Using VHDL
A unique guide to using both modeling and simulation in digital systems design Digital systems desig...
Fractal Geometry. Mathematical Foundations and Applications
Fractal Geometry. Mathematical Foundations and Applications
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
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
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
Stochastic processes are widely used for model building in the social, physical, engineering and lif...
Fourier Series and Numerical Methods for Partial Differential Equation...
Fourier Series and Numerical Methods for Partial Differential Equations
The importance of partial differential equations (PDEs) in modeling phenomena in engineering as well...