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Non Gaussian Season Adjustment
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Book Synopsis Non-Gaussian Season Adjustment by : Andrew G. Bruce
Download or read book Non-Gaussian Season Adjustment written by Andrew G. Bruce and published by . This book was released on 1992 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study compares X-12-ARIMA and MING, two new seasonal adjustment methods designed to handle outliers and structural changes in a time series. X-12-ARIMA is a successor to the X-11-ARIMA seasonal adjustment method, and is being developed at the U.S. Bureau of the Census (Findley et al. (1988)). MING is a "Mixture based Non-Gaussian" method for seasonal adjustment using time series structural models. It was developed for this study based on methodology proposed by Kitagawa (1990).
Book Synopsis Empirical Comparison of Two Methods for Non-gaussian Seasonal Adjustment by : Andrew G. Bruce
Download or read book Empirical Comparison of Two Methods for Non-gaussian Seasonal Adjustment written by Andrew G. Bruce and published by . This book was released on 1992 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study compares two new seasonal adjustment methods designed to handle outliers and structural changes: X-12-ARIMA seasonal adjustment method and GAUSUM-STM. X-12-ARIMA is a successor to the X-11-ARIMA seasonal adjustment methods, and is being developed at the U.S. Bureau of the Census (Findley et al. (1988)). GAUSUM-STM is a non-Gaussian method using time series structural models, and was developed for this study based on methodology proposed by Kitagawa (1990).
Book Synopsis Smoothness Priors Analysis of Time Series by : Genshiro Kitagawa
Download or read book Smoothness Priors Analysis of Time Series written by Genshiro Kitagawa and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smoothness Priors Analysis of Time Series addresses some of the problems of modeling stationary and nonstationary time series primarily from a Bayesian stochastic regression "smoothness priors" state space point of view. Prior distributions on model coefficients are parametrized by hyperparameters. Maximizing the likelihood of a small number of hyperparameters permits the robust modeling of a time series with relatively complex structure and a very large number of implicitly inferred parameters. The critical statistical ideas in smoothness priors are the likelihood of the Bayesian model and the use of likelihood as a measure of the goodness of fit of the model. The emphasis is on a general state space approach in which the recursive conditional distributions for prediction, filtering, and smoothing are realized using a variety of nonstandard methods including numerical integration, a Gaussian mixture distribution-two filter smoothing formula, and a Monte Carlo "particle-path tracing" method in which the distributions are approximated by many realizations. The methods are applicable for modeling time series with complex structures.
Book Synopsis Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation by : Estela Bee Dagum
Download or read book Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation written by Estela Bee Dagum and published by Springer. This book was released on 2016-06-20 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.
Book Synopsis Seasonal Adjustment Without Revisions by : Barend Abeln
Download or read book Seasonal Adjustment Without Revisions written by Barend Abeln and published by Springer Nature. This book was released on 2023-02-13 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seasonality in economic time series can "obscure" movements of other components in a series that are operationally more important for economic and econometric analyses. In practice, one often prefers to work with seasonally adjusted data to assess the current state of the economy and its future course. This book presents a seasonal adjustment program called CAMPLET, an acronym of its tuning parameters, which consists of a simple adaptive procedure to extract the seasonal and the non-seasonal component from an observed series. Once this process is carried out, there will be no need to revise these components at a later stage when new observations become available. The authors describe the main features of CAMPLET, evaluate the outcomes of CAMPLET and X-13ARIMA-SEATS in a controlled simulation framework using a variety of data generating processes, and illustrate CAMPLET and X-13ARIMA-SEATS with three time series: US non-farm payroll employment, operational income of Ahold and real GDP in the Netherlands. Furthermore they show how CAMPLET performs under the COVID-19 crisis, and its attractiveness in dealing with daily data. This book appeals to scholars and students of econometrics and statistics, interested in the application of statistical methods for empirical economic modeling.
Book Synopsis A Guide to Seasonal Adjustment of Labor Force Data by : John F. Stinson
Download or read book A Guide to Seasonal Adjustment of Labor Force Data written by John F. Stinson and published by . This book was released on 1982 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis System-theoretic Methods in Economic Modelling by : E. Y. Rodin
Download or read book System-theoretic Methods in Economic Modelling written by E. Y. Rodin and published by . This book was released on 1989 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Methods in Control & Signal Processing by : Tohru Katayama
Download or read book Statistical Methods in Control & Signal Processing written by Tohru Katayama and published by CRC Press. This book was released on 2018-10-08 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this work documents developments in statistical modelling, identification, estimation and signal processing. The book covers such topics as subspace methods, stochastic realization, state space modelling, and identification and parameter estimation.
Book Synopsis Statistical Theory and Method Abstracts by :
Download or read book Statistical Theory and Method Abstracts written by and published by . This book was released on 2000 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The X-II-ARIMA Seasonal Adjustment Method by : Estela Bee Dagum
Download or read book The X-II-ARIMA Seasonal Adjustment Method written by Estela Bee Dagum and published by Statistics Canada. This book was released on 1980 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Improved State Space Representation for Cyclical Time Series by : John Haywood
Download or read book An Improved State Space Representation for Cyclical Time Series written by John Haywood and published by . This book was released on 1999 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Seasonal Adjustment with the X-11 Method by : Dominique Ladiray
Download or read book Seasonal Adjustment with the X-11 Method written by Dominique Ladiray and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most widely used statistical method in seasonal adjustment is implemented in the X-11 Variant of the Census Method II Seasonal Adjustment Program. Developed by the US Bureau of the Census, it resulted in the X-11-ARIMA software and the X-12-ARIMA. While these integrate parametric methods, they remain close to the initial X-11 method, and it is this "core" that Seasonal Adjustment with the X-11 Method focuses on. It will be an important reference for government agencies, and other serious users of economic data.
Book Synopsis Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data by : Anindya Banerjee
Download or read book Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data written by Anindya Banerjee and published by Oxford University Press. This book was released on 1993-05-27 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a wide-ranging account of the literature on co-integration and the modelling of integrated processes (those which accumulate the effects of past shocks). Data series which display integrated behaviour are common in economics, although techniques appropriate to analysing such data are of recent origin and there are few existing expositions of the literature. This book focuses on the exploration of relationships among integrated data series and the exploitation of these relationships in dynamic econometric modelling. The concepts of co-integration and error-correction models are fundamental components of the modelling strategy. This area of time-series econometrics has grown in importance over the past decade and is of interest to econometric theorists and applied econometricians alike. By explaining the important concepts informally, but also presenting them formally, the book bridges the gap between purely descriptive and purely theoretical accounts of the literature. The asymptotic theory of integrated processes is described and the tools provided by this theory are used to develop the distributions of estimators and test statistics. Practical modelling advice, and the use of techniques for systems estimation, are also emphasized. A knowledge of econometrics, statistics, and matrix algebra at the level of a final-year undergraduate or first-year undergraduate course in econometrics is sufficient for most of the book. Other mathematical tools are described as they occur.
Book Synopsis Applied Time Series Analysis II by : David F. Findley
Download or read book Applied Time Series Analysis II written by David F. Findley and published by Academic Press. This book was released on 2014-05-10 with total page 811 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Time Series Analysis II contains the proceedings of the Second Applied Time Series Symposium Held in Tulsa, Oklahoma, on March 3-5, 1980. The symposium provided a forum for discussing significant advances in time series analysis and signal processing. Effective alternatives to the familiar least-square and maximum likelihood procedures are described, along with maximum likelihood procedures for modeling irregularly sampled series and for classifying non-stationary series. Comprised of 22 chapters, this volume begins with an introduction to the multidimensional filtering theory and presents specific case histories related to the multidimensional recursive filter stability problem; the least squares inverse problem; realization of filters; and spectral estimation. The unique properties of the three-dimensional wave equation are also considered. Subsequent chapters focus on high-resolution spectral estimators; time series analysis of geophysical inverse scattering problems; minimum entropy deconvolution; and fitting of a continuous time autoregression to discrete data. This monograph will appeal to students and practitioners in the fields of mathematics and statistics, electrical and electronics engineering, and information and computer sciences.
Book Synopsis Computational Stochastic Mechanics by : P.D. Spanos
Download or read book Computational Stochastic Mechanics written by P.D. Spanos and published by CRC Press. This book was released on 1999-11-09 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the June, 1998 conference. Seventy contributions discuss Monte Carlo and signal processing methods, random vibrations, safety and reliability, control/optimization and modeling of nonlinearity, earthquake engineering, random processes and fields, damage/fatigue materials, applied prob
Book Synopsis Non-Gaussian Methods for Quantum Error Correction by : Dominik Hörndlein
Download or read book Non-Gaussian Methods for Quantum Error Correction written by Dominik Hörndlein and published by . This book was released on 2009 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :American Statistical Association. Business and Economic Statistics Section Publisher : ISBN 13 : Total Pages :346 pages Book Rating :4.E/5 ( download)
Book Synopsis Proceedings of the Business and Economic Statistics Section by : American Statistical Association. Business and Economic Statistics Section
Download or read book Proceedings of the Business and Economic Statistics Section written by American Statistical Association. Business and Economic Statistics Section and published by . This book was released on 1996 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
