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Author : Leonid I. Galčuk
Publisher :
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.:/5 (633 download)
Download or read book Sequential Estimation of the Parameters in Unstable AR(2) written by Leonid I. Galčuk and published by . This book was released on 2004 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Publisher : ScholarlyEditions
ISBN 13 : 1464965315
Total Pages : 743 pages
Book Rating : 4.4/5 (649 download)
Download or read book Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Calculus, Mathematical Analysis, and Nonlinear Research. The editors have built Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Calculus, Mathematical Analysis, and Nonlinear Research in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Author : Yoosoon Chang
Publisher : Emerald Group Publishing
ISBN 13 : 1837532087
Total Pages : 406 pages
Book Rating : 4.8/5 (375 download)
Download or read book Essays in Honor of Joon Y. Park written by Yoosoon Chang and published by Emerald Group Publishing. This book was released on 2023-04-24 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes 45a and 45b of Advances in Econometrics honor Professor Joon Y. Park, who has made numerous and substantive contributions to the field of econometrics over a career spanning four decades since the 1980s and counting.
Author : Mercidita Tulay Navarro
Publisher :
ISBN 13 :
Total Pages : 212 pages
Book Rating : 4.:/5 (244 download)
Download or read book Sequential Estimation of Quantiles and Adaptive Sequential Estimation of Location and Scale Parameters written by Mercidita Tulay Navarro and published by . This book was released on 1990 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suppose that $Xsb1,Xsb2,cdots$ are independent observations from a distribution F, and that one wishes to estimate the $psp{rm th}$ quantile $xisb{p}(0 0).$ If $f(xisb{p})$ is known, one may use the best fixed sample size (i.e., in the sense of minimum risk). If $f(xisb{p})$ is unknown, then the best fixed sample size is also unknown. For this case, a stopping rule T = $Tsb{A}$ is proposed. It is shown that, under certain smoothness conditions on F and a growth condition on the delay, the sequential procedure derived is asymptotically risk efficient, i.e., it performs asymptotically as well as the best fixed-sample-size procedure. In the proof, asymptotic moment bounds for the remainder terms in Bahadur's representations of sample quantiles, and certain central order statistics, are derived and used to verify uniform integrability of $$left{left(Asp{1/4}vert xisb{pT} - xisb{p}vertright)sp2, A geq 1right}.$$Results are extended to a problem that utilizes a more general loss function, $Lsb{n}prime = Avert xisb{pn} - xisb{p}vertsp{r} + n (A > 0, r > 0),$ and to estimation of a linear combination of two quantiles. The problem of estimating the center of a symmetric distribution using the better of the sample mean and the sample median, and that of estimating scale using the better of the sample standard deviation and the sample interquartile range, are studied. Under certain conditions, the risk is minimized (asymptotically) by using the estimator that possesses the smaller asymptotic variance (in scale estimation, the smaller standardized asymptotic variance) and the sample size that minimizes the asymptotic risk of that estimator. Oftentimes, though, the asymptotic variances of the estimators are unknown. In this case, no single estimator and no fixed sample size would minimize the risk. Adaptive sequential procedures that allow one to choose not only the estimators but also the sample sizes in the two problems are investigated. Both interval and point estimation are considered.
Author : Tharuvai Narayanaswami Sriram
Publisher :
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.3/5 (129 download)
Download or read book Sequential Estimation of Parameters in a First Order Autoregressive Model written by Tharuvai Narayanaswami Sriram and published by . This book was released on 1986 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : M. R. Chernick
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (227 download)
Download or read book Sequential Parameter Estimation in Exponential Autoregressive Processes written by M. R. Chernick and published by . This book was released on 1982 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper generalizes the sequential estimation of autoregressive parameters as given in Gaver and Lewis (1980) of pth order processes EAR(p) and GAR(p). The first two moments of the stopping time distribution are computed for the EAR(2) process, a procedure for estimating the paramter lambda is given, and a simulation is given to show how large the stopping time can be for various alpha 1 and alpha 2.
Author : Giovanni Petris
Publisher : Springer Science & Business Media
ISBN 13 : 0387772383
Total Pages : 258 pages
Book Rating : 4.3/5 (877 download)
Download or read book Dynamic Linear Models with R written by Giovanni Petris and published by Springer Science & Business Media. This book was released on 2009-06-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms. The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online. No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed.
Author :
Publisher :
ISBN 13 :
Total Pages : 820 pages
Book Rating : 4.3/5 (91 download)
Download or read book Mathematical Reviews written by and published by . This book was released on 2004 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Liang Wang
Publisher : Springer Science & Business Media
ISBN 13 : 0857290576
Total Pages : 377 pages
Book Rating : 4.8/5 (572 download)
Download or read book Machine Learning for Vision-Based Motion Analysis written by Liang Wang and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.
Author : Scott H. Faro
Publisher : Springer Nature
ISBN 13 : 3031109090
Total Pages : 1502 pages
Book Rating : 4.0/5 (311 download)
Download or read book Functional Neuroradiology written by Scott H. Faro and published by Springer Nature. This book was released on 2023-05-23 with total page 1502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition fully updates and expands Faro and Mohamed’s Functional Neuroradiology, a gold standard, comprehensive introduction to the state-of-the-art functional imaging in neuroradiology, including the physical principles and clinical applications of Diffusion, Perfusion, Permeability, MR spectroscopy, Positron Emission Tomography, BOLD fMRI and Diffusion Tensor Imaging. With chapters written by internationally distinguished neuroradiologists, neurologists, psychiatrists, cognitive neuroscientists, and physicists, Functional Neuroradiology is divided into 12 major sections, including: Diffusion and Perfusion Imaging, Magnetic Resonance Spectroscopy and Chemical Exchange Saturation Transfer Imaging, Multi-Modality Functional Neuroradiology, BOLD Functional MRI, Diffusion Tensor Imaging, Presurgical Brain Tumor Mapping, Emerging neuroimaging techniques, Functional Spine and Hydrocephalus imaging, and Neuroanatomical Gray and White matter Brain Atlases. This second edition is fully updated throughout and includes more than 15 new chapters on topics such as: Brain tumor Radiogenomics, CNS Tumor Surveillance and Functional MR Perfusion Imaging, CNS Machine Learning, Focused Ultrasound therapy, TBI Sports Related Injury, and CNS Lymphatic system. By offering readers a complete overview of functional imaging modalities and techniques currently used in patient diagnosis and management, as well as emerging technology, Functional Neuroradiology is a vital information source for physicians and cognitive neuroscientists involved in daily practice and research.
Author : Robert H. Shumway
Publisher :
ISBN 13 : 9781475732627
Total Pages : 568 pages
Book Rating : 4.7/5 (326 download)
Download or read book Time Series Analysis and Its Applications written by Robert H. Shumway and published by . This book was released on 2014-01-15 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 990 pages
Book Rating : 4.:/5 (31 download)
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1979 with total page 990 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author : G. Elliott
Publisher : Elsevier
ISBN 13 : 0080460674
Total Pages : 1071 pages
Book Rating : 4.0/5 (84 download)
Download or read book Handbook of Economic Forecasting written by G. Elliott and published by Elsevier. This book was released on 2006-05-30 with total page 1071 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing. *Addresses economic forecasting methodology, forecasting models, forecasting with different data structures, and the applications of forecasting methods *Insights within this volume can be applied to economics, finance and marketing disciplines
Download or read book International Journal of forecasting written by and published by . This book was released on 2004 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter J. Brockwell
Publisher : Springer Science & Business Media
ISBN 13 : 1475725264
Total Pages : 429 pages
Book Rating : 4.4/5 (757 download)
Download or read book Introduction to Time Series and Forecasting written by Peter J. Brockwell and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introducitons are also given to cointegration and to non-linear, continuous-time and long-memory models. The time series package included in the back of the book is a slightly modified version of the package ITSM, published separately as ITSM for Windows, by Springer-Verlag, 1994. It does not handle such large data sets as ITSM for Windows, but like the latter, runs on IBM-PC compatible computers under either DOS or Windows (version 3.1 or later). The programs are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis.
Author : Robert S. Liptser
Publisher : Springer Science & Business Media
ISBN 13 : 3662100282
Total Pages : 409 pages
Book Rating : 4.6/5 (621 download)
Download or read book Statistics of Random Processes II written by Robert S. Liptser and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Written by two renowned experts in the field, the books under review contain a thorough and insightful treatment of the fundamental underpinnings of various aspects of stochastic processes as well as a wide range of applications. Providing clear exposition, deep mathematical results, and superb technical representation, they are masterpieces of the subject of stochastic analysis and nonlinear filtering....These books...will become classics." --SIAM REVIEW
Author : Charles E. McCulloch
Publisher : IMS
ISBN 13 : 9780940600546
Total Pages : 100 pages
Book Rating : 4.6/5 (5 download)
Download or read book Generalized Linear Mixed Models written by Charles E. McCulloch and published by IMS. This book was released on 2003 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data. As a follow-up to Searle's classic, Linear Models, and Variance Components by Searle, Casella, and McCulloch, this new work progresses from the basic one-way classification to generalized linear mixed models. A variety of statistical methods are explained and illustrated, with an emphasis on maximum likelihood and restricted maximum likelihood. An invaluable resource for applied statisticians and industrial practitioners, as well as students interested in the latest results, Generalized, Linear, and Mixed Models features: * A review of the basics of linear models and linear mixed models * Descriptions of models for nonnormal data, including generalized linear and nonlinear models * Analysis and illustration of techniques for a variety of real data sets * Information on the accommodation of longitudinal data using these models * Coverage of the prediction of realized values of random effects * A discussion of the impact of computing issues on mixed models
