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Stochastic Analysis of Scaling Time Series

its own limitations. This book presents the mathematical theory behind the stochastic analysis of scaling time series, including a general;

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Fractal Patterns in Nonlinear Dynamics and Applications

-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which;

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Fractal Patterns in Nonlinear Dynamics and Applications

-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which;

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Introduction To Econophysics

series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical;

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Introduction to Econophysics

series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical;

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Stochastic Calculus and Differential Equations for Physics and Finance

series analysis. Stochastic calculus is developed using general martingales. Scaling and fat tails are presented via diffusive models. Fractional;

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Scaling, Fractals and Wavelets

finance and image processing. This book is organized around the notions of scaling phenomena and scale invariance. The various stochastic models;

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A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step;

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A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step;

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Stochastic Models, Statistics and Their Applications

contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival;

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Time Series Analysis

, Time Series Analysis provides an accessible yet thorough introduction to the methods for modeling linear stochastic systems. It will help you;

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Stochastic Modeling

avenues in time series analysis and predictive modeling which summarize more than ten years of experience in the application of stochastic models;

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Beyond The Triangle

developments in the field, including the role of driving processes and their scaling limits, the forms of corresponding stochastic differential;

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Microstructural Randomness and Scaling in Mechanics of Materials

stochastic approach to grasp the effects of spatial randomness. Using this approach, Microstructural Randomness and Scaling in Mechanics of Materials;

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Recent Advances In Stochastic Modeling And Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover;

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London Mathematical Society Lecture Note Series

Stochastic partial differential equations can be used in many areas of science to model complex systems that evolve over time. Their;

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Periodically Correlated Random Sequences

valuable reference for research statisticians and practitioners in areas of probability and statistics such as time series analysis, stochastic;

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Performance Analysis of Communications Networks and Systems

This rigourous and self-contained book describes mathematical and, in particular, stochastic methods to assess the performance of networked;

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Elements of Applied Stochastic Processes

introduction to stationary processes and time series analysis * Integrates a broad set of applications into the text * Utilizes a wealth of examples;

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Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems

measured data. The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially;

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Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems

measured data. The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially;

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Applied Probability and Stochastic Processes

Completely rewritten part on probability theory-now more than double in size New sections on time series analysis, random walks, branching;

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Applied Probability and Stochastic Processes

Completely rewritten part on probability theory-now more than double in size New sections on time series analysis, random walks, branching;

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Analysis of Queues

discusses models for multi-class queues and queueing networks as well as methods based on fluid scaling, stochastic fluid flows, continuous;

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Analysis of Queues

discusses models for multi-class queues and queueing networks as well as methods based on fluid scaling, stochastic fluid flows, continuous;

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Bayesian Inference for Stochastic Processes

many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete;

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Bayesian Inference for Stochastic Processes

many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete;

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