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Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field of study, and many modern applications for it have been found in fields such as physics, chemistry, biology, ecology, economy, finance, and many branches of engineering including Mechanical, Ocean, Civil, Bio, and Earthquake Engineering.Elements of Stochastic … Lesen Sie mehr

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Introduction To Stochastic Processes

von Mu-fa Chen, Yong-hua Mao …

Serien Buch 2 - World Scientific Series On Probability Theory And Its Applications
The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts — Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and … Lesen Sie mehr

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The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts — Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and
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von Hrishikesh D. Vinod, C.R. Rao …

Serien Buch 42 - Handbook of Statistics
Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, … Lesen Sie mehr

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Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting,
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Statistical analysis in practice and Evaluation of research results

von Wolfgang Illig …

Research Paper (undergraduate) from the year 2011 in the subject Mathematics - Statistics, grade: je 5 Creditpoints, University of West Hungary , course: Statistical analysis in practice and Evaluation of research results, language: English, abstract: The following chapters deal with the scope of work and containing the following steps: • Definition of the scope of work • Development of a … Lesen Sie mehr

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Research Paper (undergraduate) from the year 2011 in the subject Mathematics - Statistics, grade: je 5 Creditpoints, University of West Hungary , course: Statistical analysis in practice and Evaluation of research results, language: English, abstract: The following chapters deal with the scope of work and containing the following steps: • Definition of the scope of work • Development of a
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von Nikolaos Limnios, Anatoliy Swishchuk …

Serien series Mathematics and Statistics (R0)
This book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving the definitions of discrete-time semi-Markov chains and random evolutions, it presents the asymptotic theory in a functional setting, including weak convergence results in the series scheme, and … Lesen Sie mehr

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This book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving the definitions of discrete-time semi-Markov chains and random evolutions, it presents the asymptotic theory in a functional setting, including weak convergence results in the series scheme, and
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Wahrscheinlichkeitsrechnung eBooks

Doing Data Science

Decision Making under Deep Uncertainty

Planar Maps, Random Walks and Circle Packing

Pseudo-Regularly Varying Functions and Generalized Renewal Processes

Probabilistic Spiking Neuronal Nets

Open Quantum Systems

Molecular Storms

Probability and Stochastic Processes

Advancements in Bayesian Methods and Implementations

An Introduction to Probability

Modelling Non-Markovian Quantum Systems Using Tensor Networks

Occupancy Estimation and Modeling

Ruin Probabilities

Fundamentals of Matrix-Analytic Methods

Principles and Methods for Data Science

Earthquake Hazard and Risk

Genealogies Of Interacting Particle Systems

Mathematics of Two-Dimensional Turbulence

Stochastic Models of Financial Mathematics

Elements Of Stochastic Dynamics

Introduction To Stochastic Processes

Financial, Macro and Micro Econometrics Using R

Statistical analysis in practice and Evaluation of research results

Discrete-Time Semi-Markov Random Evolutions and Their Applications