An Introduction To Sparse Stochastic Processes

Author: Michael Unser
Editor: Cambridge University Press
ISBN: 1107058546
File Size: 44,14 MB
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A detailed guide to sparsity, providing a description of their transform-domain statistics and applying the models to practical algorithms.

Proceedings Of The Biennial Southern Silvicultural Research Conference

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File Size: 31,30 MB
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The Optimal Control Of Discrete Stochastic Processes

Author: A. Alan B. Pritsker
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ISBN:
File Size: 37,56 MB
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Stanford Bulletin

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File Size: 32,60 MB
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Introduction To Stochastic Processes

Author: Erhan Cinlar
Editor: Courier Corporation
ISBN: 0486276325
File Size: 27,62 MB
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Clear presentation employs methods that recognize computer-related aspects of theory. Topics include expectations and independence, Bernoulli processes and sums of independent random variables, Markov chains, renewal theory, more. 1975 edition.

Technometrics

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File Size: 26,39 MB
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Execution Resource Allocation For Distributed Real Time Controllers

Author: Haksun Li
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File Size: 11,26 MB
Format: PDF
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Modelling Consumer S Purchase Behavior As A Stochastic Process

Author: Tanniru R. Rao
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File Size: 55,93 MB
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Scientific And Technical Aerospace Reports

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File Size: 39,54 MB
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Signal Processing For Magnetic Resonance Force Microscopy

Author: Michael Yu Jin Ting
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ISBN:
File Size: 71,20 MB
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Journal Of The American Statistical Association

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File Size: 48,27 MB
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Mathematical Reviews

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File Size: 17,95 MB
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An Introduction To Stochastic Processes With Applications To Biology

Author: Linda J. S. Allen
Editor: Prentice Hall
ISBN:
File Size: 52,30 MB
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Plenty of examples, diagrams, and figures take readers step-by-step through well-known classical biological models to ensure complete understanding of stochastic formulation. Probability, Markov Chains, discrete time branching processes, population genetics, and birth and death chains. For biologists and other professionals who want a comprehensive, easy-to-follow introduction to stochastic formulation as it pertains to biology.

The Journal Of Computational Finance

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File Size: 78,78 MB
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High Dimensional Probability

Author: Roman Vershynin
Editor: Cambridge University Press
ISBN: 1108415199
File Size: 43,73 MB
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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Applied Statistics

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File Size: 58,13 MB
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Journal Of The Association For Computing Machinery

Author: DANIEL J. ROSENKRANTZ
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File Size: 10,29 MB
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Catalogue

Author: University of California, Santa Cruz
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File Size: 23,33 MB
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Stochastic Processes Modeling And Simulation

Author: D N Shanbhag
Editor: Gulf Professional Publishing
ISBN: 9780444500137
File Size: 12,79 MB
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This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of 23 chapters addressing various topics in stochastic processes. These include, among others, those on manufacturing systems, random graphs, reliability, epidemic modelling, self-similar processes, empirical processes, time series models, extreme value therapy, applications of Markov chains, modelling with Monte Carlo techniques, and stochastic processes in subjects such as engineering, telecommunications, biology, astronomy and chemistry. particular with modelling, simulation techniques and numerical methods concerned with stochastic processes. The scope of the project involving this volume as well as volume 19 is already clarified in the preface of volume 19. The present volume completes the aim of the project and should serve as an aid to students, teachers, researchers and practitioners interested in applied stochastic processes.