Download or read book Interpolation of Equi spaced Time Series written by Richard Cawley Madden and published by . This book was released on 1971 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Interpolation of Time Series by Related Series written by Milton Friedman and published by . This book was released on 1962 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Imputation Methods for Missing Hydrometeorological Data Estimation written by Ramesh S. V. Teegavarapu and published by Springer Nature. This book was released on with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ubiquitous Intelligence and Computing written by Hai Jin and published by Springer Science & Business Media. This book was released on 2006-08-24 with total page 1211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the refereed proceedings of the Third International Conference on Ubiquitous Intelligence and Computing, UIC 2006, held in Wuhan, China. The book presents 117 revised full papers together with a keynote paper were carefully reviewed and selected from 382 submissions. The papers are organized in topical sections on smart objects and embedded systems; smart spaces, environments, and platforms; ad-hoc and intelligent networks; sensor networks, and more.
Download or read book Variance Analysis If Unevenly Spaced Time Series Data written by and published by . This book was released on 1995 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: We have investigated the effect of uneven data spacing on the computation of sigma(chi) (Tau). Evenly spaced simulated data sets were generated for noises processes ranging from white PM to random walk FM. sigma(chi) (Tau) was then calculated for each noise type. Data were subsequently removed from each simulated data set using typical TWSTFT data patterns to create two unevently spaced sets with average intervals of 2.8 and 3.6 days. Sigma(chi)(Tau) was then calculated for each sparse data set using two different approaches. First, the missing data points were replaced by linear interpolation and sigma(chi)(Tau) calculated from this now full data set. The second approach ignored the fact that the data were unevenly spaced and calculated sigma(chi)(Tau) as if the data were equally spaced with average spacing of 2.8 or 3.6 days. Both approaches have advantages and disadvantages, and techniques are presented for correcting errors caused by uneven data spacing in typical TWSTFT data sets.
Download or read book Observations of Particle Motions in Ocean Waves written by David H. Shonting and published by . This book was released on 1967 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Galileo Mission written by C.T. Russell and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this volume are a document of the Galileo mission to Jupiter. The Mission Overview is the first article; the second is a description of the design of the very complex spacecraft trajectory in relation to the scientific objects. Subsequent articles describe the various investigations planned by the scientific groups. These are divided in three groups: the Probe, the Magnetospheric Experiments, and the Remote Sensing and Radio Investigations.
Download or read book An Introduction to Time Series Analysis and Forecasting written by Robert A. Yaffee and published by Academic Press. This book was released on 2000-04-27 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: A time series is a set of repeated measurements of the same phenomenon taken sequentially over time. Capturing the data creates a time series "memory" to document correlations or lack, and to help them make decisions based on this data.
Download or read book Time Series Prediction written by Andreas S. Weigend and published by Routledge. This book was released on 2018-05-04 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.
Download or read book Applied Time Series Analysis with R written by Wayne A. Woodward and published by CRC Press. This book was released on 2017-02-17 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis. Features Gives readers the ability to actually solve significant real-world problems Addresses many types of nonstationary time series and cutting-edge methodologies Promotes understanding of the data and associated models rather than viewing it as the output of a "black box" Provides the R package tswge available on CRAN which contains functions and over 100 real and simulated data sets to accompany the book. Extensive help regarding the use of tswge functions is provided in appendices and on an associated website. Over 150 exercises and extensive support for instructors The second edition includes additional real-data examples, uses R-based code that helps students easily analyze data, generate realizations from models, and explore the associated characteristics. It also adds discussion of new advances in the analysis of long memory data and data with time-varying frequencies (TVF).
Download or read book MATLAB Recipes for Earth Sciences written by Martin Trauth and published by Springer Science & Business Media. This book was released on 2007-10-13 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB® is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. The revised and updated Second Edition includes new subchapters on windowed Blackman-Tukey, Lomb-Scargle and Wavelet powerspectral analysis, statistical analysis of point distributions and digital elevation models, and a full new chapter on the statistical analysis of directional data. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.
Download or read book Time Series Analysis of Irregularly Observed Data written by E. Parzen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the support of the Office of Naval Research Program on Statistics and Probability (Dr. Edward J. Wegman, Director), The Department of Statistics at Texas A&M University hosted a Symposium on Time Series Analysis of Irregularly Observed Data during the period February 10-13, 1983. The symposium aimed to provide a review of the state of the art, define outstanding problems for research by theoreticians, transmit to practitioners recently developed algorithms, and stimulate interaction between statisticians and researchers in subject matter fields. Attendance was limited to actively involved researchers. This volume contains refereed versions of the papers presented at the Symposium. We would like to express our appreciation to the many colleagues and staff members whose cheerful help made the Symposium a successful happening which was enjoyed socially and intellectually by all participants. I would like to especially thank Dr. Donald W. Marquardt whose interest led me to undertake to organize this Symposium. This volume is dedicated to the world wide community of researchers who develop and apply methods of statistical analysis of time series. r:;) \J Picture Caption Participants in Symposium on Time Series Analysis of Irregularly Observed Data at Texas A&M University, College Station, Texas, February 10-13, 1983 First Row: Henry L. Gray, D. W. Marquardt, P. M. Robinson, Emanuel Parzen, Julia Abrahams, E. Masry, H. L. Weinert, R. H. Shumway.
Download or read book Applied Digital Signal Processing written by Dimitris G. Manolakis and published by Cambridge University Press. This book was released on 2011-11-21 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.
Download or read book Mathematical Statistics and Applications written by Marc Moore and published by IMS. This book was released on 2003 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Analysis Methods in Physical Oceanography written by William J. Emery and published by Elsevier. This book was released on 2001-04-03 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical tables. Twenty pages are devoted to references. Featuring:. An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.. A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.. 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998 "(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 "(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999
Download or read book Urban Transport XXIII written by C.A. Brebbia and published by WIT Press. This book was released on 2017-12-11 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forming the 23rd addition to a successful series, this book contains papers presented by an extensive selection of international delegates at the 23rd International Conference on Urban Transport and the Environment. Due to its continued success and multiplicity of topics, the series is considered to be a leading source of new research in the area of transport engineering. Transportation in urban areas, with its related environmental and social impacts, is of significant concern for government policymakers and for the urban citizens who need efficient transport systems. Extensive reviews of these systems are required to devise and then safeguard their operational use, maintenance, safety and security. The continuing requirement for better and more efficient urban transport systems and the need for a healthier environment has added to the increasing international desire for new technologies and developments in this essential field. The variety of topics covered reflects the complex interaction of urban transport systems with their environment and the need to establish integrated strategies. These topics include: Public transport systems; Urban transport planning and management; Environmental impact; Economic and social impact; Safety and security; Transportation modelling and simulation; Intelligent and advanced transport systems; City logistics; Inter-modal transport systems; Mass transport strategies; Freight transport; Railway systems; Port and city; Mobility and public space; Innovative electric transportation; Eco-mobility transport systems; Integrated network systems; Traditional and alternative fuels and energy; Public policies and governance.
Download or read book Neural Network Modeling Using SAS Enterprise Miner written by Randall Matignon and published by AuthorHouse. This book was released on 2005-08 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed in making statisticians, researchers, and programmers aware of the awesome new product now available in SAS called Enterprise Miner. The book will also make readers get familiar with the neural network forecasting methodology in statistics. One of the goals to this book is making the powerful new SAS module called Enterprise Miner easy for you to use with step-by-step instructions in creating a Enterprise Miner process flow diagram in preparation to data-mining analysis and neural network forecast modeling. Topics discussed in this book An overview to traditional regression modeling. An overview to neural network modeling. Numerical examples of various neural network designs and optimization techniques. An overview to the powerful SAS product called Enterprise Miner. An overview to the SAS neural network modeling procedure called PROC NEURAL. Designing a SAS Enterprise Miner process flow diagram to perform neural network forecast modeling and traditional regression modeling with an explanation to the various configuration settings to the Enterprise Miner nodes used in the analysis. Comparing neural network forecast modeling estimates with traditional modeling estimates based on various examples from SAS manuals and literature with an added overview to the various modeling designs and a brief explanation to the SAS modeling procedures, option statements, and corresponding SAS output listings.
