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Author : William Edward Bennett
Publisher :
ISBN 13 :
Total Pages : 150 pages
Book Rating : 4.:/5 (224 download)
Download or read book Applications of Adaptive Sampling written by William Edward Bennett and published by . This book was released on 1973 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : LITTLE (ARTHUR D) INC CAMBRIDGE MASS.
Publisher :
ISBN 13 :
Total Pages : 69 pages
Book Rating : 4.:/5 (227 download)
Download or read book Application of Adaptive Sampling Strategies to the Planning of Surveys written by LITTLE (ARTHUR D) INC CAMBRIDGE MASS. and published by . This book was released on 1963 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Steven K. Thompson
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.3/5 (91 download)
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 : Huijuan Li
Publisher :
ISBN 13 :
Total Pages : 42 pages
Book Rating : 4.:/5 (922 download)
Download or read book Adaptive Sampling with Application in Environmental Studies and Computer Experiments written by Huijuan Li and published by . This book was released on 2015 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive sampling, which select samples sequentially, is known to be more efficient than traditional non-adaptive sampling and fixed design procedures. However, most of the methods are developed based on relatively small and well-defined regions. These assumptions are often violated in environmental studies we faced today because they invariably involve populations distributed over a large space with irregular sampling frame. A new sampling plan is proposed which enhances the estimation efficiency by taking into account the shape of the sampling region and incorporating a novel adaptive procedure. Unbiased estimators, an optimal sampling criterion, and a heuristic search algorithm is introduced. Applications to real examples are presented, which show remarkable improvement in estimation efficiency using the proposed plan over existing methods. Unlike environmental studies, design of computer experiments has been widely investigated, however, most of the designs are chosen in advance without utilizing any information from the response, which results in insufficient information. We introduce a new class of sequential designs for computer experiments. It is model-free and constructed based on space-filling designs. The construction procedure, design-unbiased estimators, and some improvements using Rao-Blackwellization are proposed. More importantly, we introduce a refinement that provides better control over sample size and avoids replicates in the final sample. We demonstrate this new class of sequential designs are sampling-wise efficient by a simulation study and a IBM data center thermal management example.
Author : George A.F. Seber
Publisher : Springer Science & Business Media
ISBN 13 : 3642336566
Total Pages : 78 pages
Book Rating : 4.6/5 (423 download)
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.
Author : Oladipo O. Fadiran
Publisher :
ISBN 13 :
Total Pages : 324 pages
Book Rating : 4.:/5 (875 download)
Download or read book Adaptive Sampling by Histogram Equalization: Theory, Algorithms, and Applications written by Oladipo O. Fadiran and published by . This book was released on 2007 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Sampling Proxy Application written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ASPA is an implementation of an adaptive sampling algorithm [1-3], which is used to reduce the computational expense of computer simulations that couple disparate physical scales. The purpose of ASPA is to encapsulate the algorithms required for adaptive sampling independently from any specific application, so that alternative algorithms and programming models for exascale computers can be investigated more easily.
Author : Jean-Raymond Melingui Betterton
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)
Download or read book Reinforcement Learning for Adaptive Sampling in X-ray Applications written by Jean-Raymond Melingui Betterton and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose adaptive sampling algorithms for automating image sampling in scientific x-ray applications. In these applications, we query measurements from various functions of an image in order to estimate it. Since collecting samples is expensive both in terms of time, human resources, and the cost of operating machinery, our goal is to produce autonomous, adaptive sampling methods that attempt to optimize some tradeoff between cost and quality of image estimation, based on information gained from previous measurements. In order to accomplish this, we propose a general methodology that uses reinforcement learning to train autonomous, image-sampling policies that optimize our objective.
Author : Reuven Y. Rubinstein
Publisher : John Wiley & Sons
ISBN 13 : 1118632389
Total Pages : 470 pages
Book Rating : 4.1/5 (186 download)
Download or read book Simulation and the Monte Carlo Method written by Reuven Y. Rubinstein and published by John Wiley & Sons. This book was released on 2016-10-21 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for problem solving Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo, variance reduction techniques such as importance (re-)sampling, and the transform likelihood ratio method, the score function method for sensitivity analysis, the stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization, the cross-entropy method for rare events estimation and combinatorial optimization, and application of Monte Carlo techniques for counting problems. An extensive range of exercises is provided at the end of each chapter, as well as a generous sampling of applied examples. The Third Edition features a new chapter on the highly versatile splitting method, with applications to rare-event estimation, counting, sampling, and optimization. A second new chapter introduces the stochastic enumeration method, which is a new fast sequential Monte Carlo method for tree search. In addition, the Third Edition features new material on: • Random number generation, including multiple-recursive generators and the Mersenne Twister • Simulation of Gaussian processes, Brownian motion, and diffusion processes • Multilevel Monte Carlo method • New enhancements of the cross-entropy (CE) method, including the “improved” CE method, which uses sampling from the zero-variance distribution to find the optimal importance sampling parameters • Over 100 algorithms in modern pseudo code with flow control • Over 25 new exercises Simulation and the Monte Carlo Method, Third Edition is an excellent text for upper-undergraduate and beginning graduate courses in stochastic simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method. Reuven Y. Rubinstein, DSc, was Professor Emeritus in the Faculty of Industrial Engineering and Management at Technion-Israel Institute of Technology. He served as a consultant at numerous large-scale organizations, such as IBM, Motorola, and NEC. The author of over 100 articles and six books, Dr. Rubinstein was also the inventor of the popular score-function method in simulation analysis and generic cross-entropy methods for combinatorial optimization and counting. Dirk P. Kroese, PhD, is a Professor of Mathematics and Statistics in the School of Mathematics and Physics of The University of Queensland, Australia. He has published over 100 articles and four books in a wide range of areas in applied probability and statistics, including Monte Carlo methods, cross-entropy, randomized algorithms, tele-traffic c theory, reliability, computational statistics, applied probability, and stochastic modeling.
Author : Sayan Ghosh
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)
Download or read book Industrial Applications of Intelligent Adaptive Sampling Methods for Multi-Objective Optimization written by Sayan Ghosh and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-objective optimization is an essential component of nearly all engineering design. However, for industrial applications, the design process typically demands running expensive computer code and/or real-world experiments putting the design process at risk of finding suboptimal solutions and/or not meeting budget constraints. As a first step toward a remedy, meta-models are built to mimic the response surface at a much lower query cost. We cover a time-tested technology specifically tailored to limited-data scenarios called Bayesian hybrid modeling (GEBHM) developed and maintained at General Electric (GE) research. GEBHM offers Bayesian mean and principled uncertainty predictions allowing a second technology called intelligent design and analysis of experiments (GE-IDACE/IDACE) to perform the optimization task using an adaptive sampling strategy. This chapter first covers the theoretical framework of both GEBHM and GE-IDACE. Then, the impact of GEBHM/GE-IDACE is demonstrated on multiple real-world engineering applications including additive manufacturing, combustion testing, and computational fluid dynamic design modeling. GEBHM and GE-IDACE are used daily and extensively within GE with huge impact in the form of 30,Äì90% cost reduction and superior engineering designs of competitive products.
Author : Arijit Chaudhuri
Publisher : CRC Press
ISBN 13 : 1466577568
Total Pages : 136 pages
Book Rating : 4.4/5 (665 download)
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.
Author : Vadiraj K. Hombal
Publisher :
ISBN 13 : 9781109683943
Total Pages : 322 pages
Book Rating : 4.6/5 (839 download)
Download or read book Adaptive Sampling in Robotic Sensor Networks for Environmental Applications written by Vadiraj K. Hombal and published by . This book was released on 2009 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Koushil Sreenath
Publisher : Institution of Engineering and Technology
ISBN 13 : 9781849192576
Total Pages : 0 pages
Book Rating : 4.1/5 (925 download)
Download or read book Adaptive Sampling with Mobile WSN written by Koushil Sreenath and published by Institution of Engineering and Technology. This book was released on 2011-02-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Sampling with Mobile WSN develops algorithms for optimal estimation of environmental parametric fields. With a single mobile sensor, several approaches are presented to solve the problem of where to sample next to maximally and simultaneously reduce uncertainty in the field estimate and uncertainty in the localisation of the mobile sensor while respecting the dynamics of the time-varying field and the mobile sensor. A case study of mapping a forest fire is presented. Multiple static and mobile sensors are considered next, and distributed algorithms for adaptive sampling are developed resulting in the Distributed Federated Kalman Filter. However, with multiple resources a possibility of deadlock arises and a matrix-based discrete-event controller is used to implement a deadlock avoidance policy. Deadlock prevention in the presence of shared and routing resources is also considered. Finally, a simultaneous and adaptive localisation strategy is developed to simultaneously localise static and mobile sensors in the WSN in an adaptive manner. Experimental validation of several of these algorithms is discussed throughout the book.
Author : Sarjinder Singh
Publisher : Springer Science & Business Media
ISBN 13 : 9781402017070
Total Pages : 640 pages
Book Rating : 4.0/5 (17 download)
Download or read book Advanced Sampling Theory With Applications written by Sarjinder Singh and published by Springer Science & Business Media. This book was released on 2003 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.
Author : Raosaheb Latpate
Publisher : Springer Nature
ISBN 13 : 9811606226
Total Pages : 301 pages
Book Rating : 4.8/5 (116 download)
Download or read book Advanced Sampling Methods written by Raosaheb Latpate and published by Springer Nature. This book was released on 2021-05-07 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.
Author : Fangxu Dong
Publisher :
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4.:/5 (115 download)
Download or read book Dynamic Adaptive Sampling for Environmental and Smart Lighting Distributed Sensor Applications written by Fangxu Dong and published by . This book was released on 2012 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher : Elsevier
ISBN 13 : 0444635718
Total Pages : 545 pages
Book Rating : 4.4/5 (446 download)
Download or read book Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits written by and published by Elsevier. This book was released on 2016-04-20 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits tackles how to gather and analyze data relating to stigmatizing human traits. S.L. Warner invented RRT and published it in JASA, 1965. In the 50 years since, the subject has grown tremendously, with continued growth. This book comprehensively consolidates the literature to commemorate the inception of RR. - Brings together all relevant aspects of randomized response and indirect questioning - Tackles how to gather and analyze data relating to stigmatizing human traits - Gives an encyclopedic coverage of the topic - Covers recent developments and extrapolates to future trends
