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Statistical Analysis and Stochastic Modelling of Hydrological Extremes

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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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Spatiotemporal Analysis of Extreme Hydrological Events

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest;

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Statistical Analysis of Hydrologic Variables

alternatives. This book covers key processes in the hydrological cycle, including: Statistical analysis of precipitation extremes;

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Applied Stochastic Hydrogeology

. The first part of the book discusses fully stochastic distributed methodology for flood frequency analysis and an analysis of the occurrence;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

modelled by non-Brownian stochastic processes in the complex real-world environment. Statistical observables are widely used for anomalous and;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and;

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Statistics of Extremes

Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data;

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Handbook of Engineering Hydrology

modeling, hydrologic modeling: stochastic processes, and time series analysis of hydrologic data Dam risk and uncertainty, drought indices for;

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New Advances in Statistical Modeling and Applications

of papers in the areas of Statistical Science, Probability and Stochastic Processes, Extremes and Statistical Applications.;

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Stochastic Modelling Of Aids Epidemiology And Hiv Pathogenesis

analysis of deterministic and statistical models in the literature; (3) it develops state space models by combining stochastic models and;

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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Statistical Inference for Fractional Diffusion Processes

economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics;

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Statistical Mechanics & Random Walks

In this book, the authors gather and present topical research in the study of statistical mechanics and random walk principles and;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

models, focusing mainly on the development and testing of two different models. The first focuses on parameter uncertainty analysis by emulating;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

models, focusing mainly on the development and testing of two different models. The first focuses on parameter uncertainty analysis by emulating;

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Topics in stochastic processes

measure theory and functional analysis. They might be used for more advanced courses on stochastic processes.;

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Stochastic Hydraulics 2000

The applications of stochastic methods in design by reliability include the better utilisation of hydrological information. With;

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Applied Stochastic Modelling

and statistical theory. Along with an updated bibliography and improved figures, this edition offers numerous updates throughout. New to the;

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Applied Stochastic Modelling

and statistical theory. Along with an updated bibliography and improved figures, this edition offers numerous updates throughout. New to;

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Modelling and Hedging Equity Derivatives

This reference text provides detailed, practice-based analysis of modelling and hedging equity derivatives. It contains an analysis;

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Complex Stochastic Systems

, and computing issues. The exponential growth in computing power over the last two decades has revolutionized statistical analysis and led to;

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Complex Stochastic Systems

, and computing issues. The exponential growth in computing power over the last two decades has revolutionized statistical analysis and led to;

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Stochastic Modelling of Reactionâ Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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Stochastic Modelling of Reaction-Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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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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