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Stationary Stochastic Processes for Scientists and Engineers

course, Stationary Stochastic Processes for Scientists and Engineers teaches students how to use these processes efficiently. Carefully balancing;

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Hilbert And Banach Space-valued Stochastic Processes

of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random;

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Stationary Stochastic Processes

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind;

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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It;

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Subspace Methods for System Identification

realization results based on spectral factorization and Riccati equations, and on canonical correlation analysis for stationary processes are included;

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Introduction to the Theory of Random Processes

, stationary processes, infinitely divisible processes, and Ito stochastic equations. Basics of discrete time martingales are also presented and then;

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Stochastic Processes

Well-written and accessible, this classic introduction to stochastic processes and related mathematics is appropriate for advanced;

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Student's t-Distribution and Related Stochastic Processes

-dimensional, strictly stationary diffusions with the Student's t-marginal distribution are defined as the unique weak solution for the stochastic;

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Generated Dynamics of Markov and Quantum Processes

This book presents Markov and quantum processes as two sides of a coin called generated stochastic processes. It deals with quantum;

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Stochastic Processes

Brownian motion and reliability applications. Stochastic Processes is suitable for use as a reliability textbook by advanced undergraduate and;

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Probability, Statistics, and Random Processes for Engineers

For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers, 4e is a useful;

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Elements of Applied Stochastic Processes

This 3rd edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic;

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Cambridge Tracts in Mathematics

Dependence with complete connections is a more general type of stochastic process than the well-known Markovian dependence, accounting for;

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Advances in Stochastic Structural Dynamics

processes, and sample path behavior of Gaussian processes. For scientists and researchers.;

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Stochastic Stability of Differential Equations in Abstract Spaces

-linear systems, and time-delay systems. The focus is on stability of stochastic dynamical processes affected by white noise, which are described;

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Discrete Stochastic Processes and Optimal Filtering

and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as;

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Discrete Stochastic Processes and Optimal Filtering

and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as;

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Estimation of Stochastic Processes with Missing Observations

values of stationary stochastic processes. Estimates are based on observations of the processes with additive stationary noise process. The aim;

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Semimartingale Theory and Stochastic Calculus

Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the;

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Brownian Motion

Stochastic processes occur everywhere in the sciences, economics and engineering, and they need to be understood by (applied;

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Applied Probability and Stochastic Processes

processes, and spectral analysis of stationary stochastic processes Comprehensive numerical discussions of examples, which replace the more;

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Applied Probability and Stochastic Processes

processes, and spectral analysis of stationary stochastic processes Comprehensive numerical discussions of examples, which replace the more;

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Stochastic Optimal Control of Structures

by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for;

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Stochastic Optimal Control of Structures

by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for;

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Generalized Stochastic Processes

in Probability Theory and Spectral Theory of Stochastic Processes plus a well-choosen set of problems and solutions round this compact textbook off.;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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