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Network And Adaptive Sampling
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Book Synopsis Network and Adaptive Sampling by : Arijit Chaudhuri
Download or read book Network and Adaptive Sampling written by Arijit Chaudhuri and published by CRC Press. This book was released on 2014-08-20 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods.
Book Synopsis Network and Adaptive Sampling by : Arijit Chaudhuri
Download or read book Network and Adaptive Sampling written by Arijit Chaudhuri and published by CRC Press. This book was released on 2014-08-20 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores
Book Synopsis Adaptive Sampling Designs by : George A.F. Seber
Download or read book Adaptive Sampling Designs written by George A.F. Seber and published by Springer Science & Business Media. This book was released on 2012-10-23 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations. Written by two acknowledged experts in the field of adaptive sampling.
Book Synopsis Adaptive Sampling for Network Management by : Edwin A. Hernandez
Download or read book Adaptive Sampling for Network Management written by Edwin A. Hernandez and published by . This book was released on 2000 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Sampling by : Steven K. Thompson
Download or read book Adaptive Sampling written by Steven K. Thompson and published by Wiley-Interscience. This book was released on 1996-06-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a viable solution to the long-standing problem of estimating the abundance of rare, clustered populations, adaptive sampling designs are rapidly gaining prominence in the natural and social sciences as well as in other fields with inherently difficult sampling situations. In marked contrast to conventional sampling designs, in which the entire sample of units to be observed is fixed prior to the survey, adaptive sampling strategies allow for increased sampling intensity depending upon observations made during the survey. For example, in a survey to assess the abundance of a rare animal species, neighboring sites may be added to the sample whenever the species is encountered during the survey. In an epidemiological survey of a contagious or genetically linked disease, sampling intensity may be increased whenever prevalence of the disease is encountered. Written by two acknowledged experts in this emerging field, this book offers researchers their first comprehensive introduction to adaptive sampling. An ideal reference for statisticians conducting research in survey designs and spatial statistics as well as researchers working in the environmental, ecological, public health, and biomedical sciences. Adaptive Sampling: Provides a comprehensive, fully integrated introduction to adaptive sampling theory and practice Describes recent research findings Introduces readers to a wide range of adaptive sampling strategies and techniques Includes numerous real-world examples from environmental pollution studies, surveys of rare animal and plant species, studies of contagious diseases, marketing surveys, mineral and fossil-fuel assessments, and more
Author :Wenhong Ma Publisher :National Library of Canada = Bibliothèque nationale du Canada ISBN 13 :9780612888876 Total Pages :194 pages Book Rating :4.8/5 (888 download)
Book Synopsis Adaptive Sampling Methods for Network Performance Metrics Measurement and Evaluation in MPLS-based IP Networks [microform] by : Wenhong Ma
Download or read book Adaptive Sampling Methods for Network Performance Metrics Measurement and Evaluation in MPLS-based IP Networks [microform] written by Wenhong Ma and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2003 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Sampling for Multiscale Environmental Sensor Networks by :
Download or read book Adaptive Sampling for Multiscale Environmental Sensor Networks written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Investigation of Adaptive Sampling as Applied to a First Order System by : Kim Bernard Thompson
Download or read book An Investigation of Adaptive Sampling as Applied to a First Order System written by Kim Bernard Thompson and published by . This book was released on 1975 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Sampling with Mobile WSN by : Koushil Sreenath
Download or read book Adaptive Sampling with Mobile WSN written by Koushil Sreenath and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The spatiotemporally varying network topology of mobile sensor networks makes it very suitable for applications such as reconstruction of environmental fields through sampling at locations that maximally reduce the largest uncertainty in the field estimate. Mobile sensor networks comprise of multiple heterogeneous resources and a deadlock-free resource scheduling in the presence of shared and routing resources becomes necessary to schedule the most efficient (cost/energy/time) resource for a task. Location information is imperative in sensor networks for most applications for localized sensing where localizing the network adaptively with no additional hardware is important. Adaptive sampling approaches for spatially distributed static linear and Gaussian fields with mobile robotic sensors are formulated and experimentally validated. Resource scheduling algorithms for dispatching resources in a deadlock-free manner in systems with shared and routing resources are mathematically formulated and experimentally validated. Simultaneous and Adaptive localization algorithms for sensor network localization through simple geometric constraints are validated through simulations. (Abstract shortened by UMI.).
Book Synopsis Programmable Adaptive Sampling System by : Louis John Koczela
Download or read book Programmable Adaptive Sampling System written by Louis John Koczela and published by . This book was released on 1962 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Environmental Adaptive Sampling for Mobile Sensor Networks Using Gaussian Processes by : Yunfei Xu
Download or read book Environmental Adaptive Sampling for Mobile Sensor Networks Using Gaussian Processes written by Yunfei Xu and published by . This book was released on 2011 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Sampling and Forecasting with Mobile Sensor Networks by : Han-Lim Choi
Download or read book Adaptive Sampling and Forecasting with Mobile Sensor Networks written by Han-Lim Choi and published by . This book was released on 2009 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: (cont.) This work proposes the smoother form of the mutual information inspired by the conditional independence relations, and demonstrates its advantages over a simple extension of the state-of-the-art: (a) it does not require integration of differential equations for long time intervals, (b) it allows for the calculation of accumulated information on-the-fly, and (c) it provides a legitimate information potential field combined with spatial interpolation techniques. The primary benefits of the presented methods are confirmed with numerical experiments using the Lorenz-2003 idealistic chaos model.
Book Synopsis Adaptive Sampling in Sample-data Control Systems by : Loh Chi Kuo
Download or read book Adaptive Sampling in Sample-data Control Systems written by Loh Chi Kuo and published by . This book was released on 1972 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sampling written by Steven K. Thompson and published by John Wiley & Sons. This book was released on 2012-03-13 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition "This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of this book." —Technometrics "Well-written . . . an excellent book on an important subject. Highly recommended." —Choice "An ideal reference for scientific researchers and other professionals who use sampling." —Zentralblatt Math Features new developments in the field combined with all aspects of obtaining, interpreting, and using sample data Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs. Featuring a broad range of topics, Sampling, Third Edition serves as a valuable reference on useful sampling and estimation methods for researchers in various fields of study, including biostatistics, ecology, and the health sciences. The book is also ideal for courses on statistical sampling at the upper-undergraduate and graduate levels.
Book Synopsis Adaptive Sampling by : George Anthony Rahe
Download or read book Adaptive Sampling written by George Anthony Rahe and published by . This book was released on 1967 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis IEEE INFOCOM 2021 IEEE Conference on Computer Communications by : IEEE Staff
Download or read book IEEE INFOCOM 2021 IEEE Conference on Computer Communications written by IEEE Staff and published by . This book was released on 2021-05-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: IEEE INFOCOM solicits research papers describing significant and innovative research contributions to the field of computer and data communication networks We invite submissions on a wide range of research topics, spanning both theoretical and systems research
Book Synopsis Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks by : Yunfei Xu
Download or read book Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks written by Yunfei Xu and published by Springer. This book was released on 2015-10-27 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication and mobility constraints either in a centralized or distributed manner. To solve such problems, fully Bayesian approaches are adopted, allowing various sources of uncertainties to be integrated into an inferential framework effectively capturing all aspects of variability involved. The fully Bayesian approach also allows the most appropriate values for additional model parameters to be selected automatically by data, and the optimal inference and prediction for the underlying scalar field to be achieved. In particular, spatio-temporal Gaussian process regression is formulated for robotic sensors to fuse multifactorial effects of observations, measurement noise, and prior distributions for obtaining the predictive distribution of a scalar environmental field of interest. New techniques are introduced to avoid computationally prohibitive Markov chain Monte Carlo methods for resource-constrained mobile sensors. Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks starts with a simple spatio-temporal model and increases the level of model flexibility and uncertainty step by step, simultaneously solving increasingly complicated problems and coping with increasing complexity, until it ends with fully Bayesian approaches that take into account a broad spectrum of uncertainties in observations, model parameters, and constraints in mobile sensor networks. The book is timely, being very useful for many researchers in control, robotics, computer science and statistics trying to tackle a variety of tasks such as environmental monitoring and adaptive sampling, surveillance, exploration, and plume tracking which are of increasing currency. Problems are solved creatively by seamless combination of theories and concepts from Bayesian statistics, mobile sensor networks, optimal experiment design, and distributed computation.
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