Download or read book Efficient Use of High Order Autocorrelations for Estimating Autoregressive Processes written by Laurence Broze and published by . This book was released on 1999 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficient Use of Higher Lag Autocorrelations for Estimating Autoregressive Processes written by Laurence Broze and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Yule-Walker estimator is commonly used in time-series analysis, as a simple way to estimate the coefficients of an autoregressive process. Under strong assumptions on the noise process, this estimator possesses the same asymptotic properties as the Gaussian maximum likelihood estimator. However, when the noise is a weak one, other estimators based on higher-order empirical autocorrelations can provide substantial efficiency gains. This is illustrated by means of a first-order autoregressive process with a Markov-switching white noise. We show how to optimally choose a linear combination of a set of estimators based on empirical autocorrelations. The asymptotic variance of the optimal estimator is derived. Empirical experiments based on simulations show that the new estimator performs well on the illustrative model.
Download or read book Estimating Autocorrelations in Fixed effects Models written by Gary Solon and published by . This book was released on 1984 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the estimation of serial correlation in fixed effects models for longitudinal data. Like time series data, longitudinal data often contain serially correlated error terms, but the autocorrelation estimators commonly used for time series, which are consistent as the length of the time series goes to infinity, are not consistent for a short time series as the size of the cross-section goes to infinity. This form of inconsistency is of particular concern because a short time series of a large cross-section is the typical case in longitudinal data. This paper extends Nickell's method of correcting for the inconsistency of autocorrelation estimators by generalizing to higher than first-order autocorrelations and to error processes other than first-order autoregressions. The paper also presents statistical tables that facilitate the identification and estimation of autocorrelation processes in both the generalized Nickell method and an alternative method due to MaCurdy. Finally, the paper uses Monte Carlo methods to explore the finite-sample properties of both methods.
Download or read book A Comparison of Four Estimators of a First Order Autoregressive Process written by Joseph A Horn (Jr) and published by . This book was released on 1986 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: Econometricans must choose between many methods for estimating Rho in a first order autoregressive process. This thesis examines the performance of four estimators in a Monte Carlo situation. The methods examined are Durbin-Watson, Beach-MacKinnon, Theil-Nagar and Prais-Winsten. The autocorrelation coefficient, Rho, was varied from .2 to .9 and each method provided estimates of Rho and beta for 1000 replications. The results presented here are similar to those found in previous comparisons. Specifically, Ordinary Least Squares was found to be an efficient estimator of beta when autocorrelation is present only to a slight degree. Of the four estimators examined, the performance of Theil-Nagar proved superior in estimating both Rho and beta for small values of the correlation coeficient. Beach-MacKinnon, on the hand, while containing a large bias in the estimation of Rho, is the more efficient estimator of beta for large values of Rho.
Download or read book Statistical Modeling and Analysis for Complex Data Problems written by Pierre Duchesne and published by Springer Science & Business Media. This book was released on 2005-12-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
Download or read book Automatic Autocorrelation and Spectral Analysis written by Petrus M.T. Broersen and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectral analysis requires subjective decisions which influence the final estimate and mean that different analysts can obtain different results from the same stationary stochastic observations. Statistical signal processing can overcome this difficulty, producing a unique solution for any set of observations but that is only acceptable if it is close to the best attainable accuracy for most types of stationary data. This book describes a method which fulfils the above near-optimal-solution criterion, taking advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data.
Download or read book Rational Expectations and Efficiency in Futures Markets written by Barry Goss and published by Routledge. This book was released on 2005-10-09 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do traders in futures markets make use of all relevant information and is this reflected in prices? This collection of original essays by a team of international economists considers these and other questions central to futures markets.
Download or read book Automatic Autocorrelation and Spectral Analysis written by Piet M. T. Broersen and published by Springer Science & Business Media. This book was released on 2006-04-20 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectral analysis requires subjective decisions which influence the final estimate and mean that different analysts can obtain different results from the same stationary stochastic observations. Statistical signal processing can overcome this difficulty, producing a unique solution for any set of observations but that is only acceptable if it is close to the best attainable accuracy for most types of stationary data. This book describes a method which fulfils the above near-optimal-solution criterion, taking advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data.
Download or read book Practical Nonparametric and Semiparametric Bayesian Statistics written by Dipak D. Dey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.
Download or read book Nonlinear Time Series Analysis in the Geosciences written by Reik V. Donner and published by Springer Science & Business Media. This book was released on 2008-08-18 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The understanding of dynamical processes in the complex system “Earth” requires the appropriate analysis of a large amount of data from observations and/or model simulations. In this volume, modern nonlinear approaches are introduced and used to study specifiic questions relevant to present-day geoscience. The approaches include spatio-temporal methods, time-frequency analysis, dimension analysis (in particular, for multivariate data), nonlinear statistical decomposition, methods designed for treating data with uneven sampling or missing values, nonlinear correlation and synchronization analysis, surrogate data techniques, network approaches, and nonlinear methods of noise reduction. This book aims to present a collection of state-of-the-art scientific contributions used in current studies by some of the world's leading scientists in this field.
Download or read book Behavioral Simulation Methods in Tax Policy Analysis written by Martin Feldstein and published by University of Chicago Press. This book was released on 2007-12-01 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: These thirteen papers and accompanying commentaries are the first fruits of an ongoing research project that has concentrated on developing simulation models that incorporate the behavioral responses of individuals and businesses to alternative tax rules and rates and on expanding computational general equilibrium models that analyze the long-run effects of changes on the economy as a whole. The principal focus of the project has been on the microsimulation of individual behavior. Thus, this volume includes studies of individual responses to an over reduction in tax rates and to changes in the highest tax rates; a study of alternative tax treatments of the family; and studies of such specific aspects of household behavior as tax treatment of home ownership, charitable contributions, and individual saving behavior. Microsimulation techniques are also used to estimate the effects of alternative policies on the long-run financial status of the social security program and to examine the effects of alternative tax rules on corporate investment and of foreign-source income on overseas investment. The papers devoted to the development of general equilibrium simulation models to include an examination of the implications of international trade and capital flows, a study of the effects of capital taxation that uses a closed economy equilibrium model, and an examination of the effect of switching to an inflation-indexed tax system. In the volume's final paper, a life-cycle model in which individuals maximize lifetime utility subject to a lifetime budget constraint is used to simulate the effects of tax rules on personal savings.
Download or read book A Course in Time Series Analysis written by Daniel Peña and published by John Wiley & Sons. This book was released on 2011-01-25 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonlinear time series models, Bayesian time series analysis, nonparametric time series analysis, and neural networks. Multivariate time series coverage includes presentations on vector ARMA models, cointegration, and multivariate linear systems. Special features include: Contributions from eleven of the worldâ??s leading figures in time series Shared balance between theory and application Exercise series sets Many real data examples Consistent style and clear, common notation in all contributions 60 helpful graphs and tables Requiring no previous knowledge of the subject, A Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics, business, engineering, and environmental analysis. An Instructor's Manual presenting detailed solutions to all the problems in he book is available upon request from the Wiley editorial department.
Download or read book Mathematical Reviews written by and published by . This book was released on 2003-05 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Applied Linear Statistical Models written by Michael H. Kutner and published by McGraw-Hill/Irwin. This book was released on 2005 with total page 1396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.
Download or read book Statistical Inference in Autoregressive Models written by B. Ramanjineyulu and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, an attempt has been made by developing some inferential methods for autoregressive models by using Internally studentized residuals.In the Applied regression analysis, the autoregressive models, moving average models and combined autoregressive and moving average models have a wide number applications. The study on autoregressive process/models is considered to be essential to both the theoretical and applied statisticians.The first order and higher order autoregressive models for regressed variable and errors have been described by giving auto covariance functions.Further, an autoregressive dynamic model without constant term has been specified and in the presence of lagged dependent variable, a modified durbin's h-statistic for testing the hypthesis of no auto correlation has been developed for first order autoregressive error process, Instrumental variable method of estimation has been proposed to estimate the parameters of first order autoregressive errors model with lagged dependent variable as regressor and hence obtained estimates for autocorrelation co-efficients based an Internally studentized residual
Download or read book Applied Signal Processing written by International Association of Science and Technology for Development and published by Anaheim, Calif. ; Calgary : ACTA Press. This book was released on 1985 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book El Ni o written by Henry F. Diaz and published by Cambridge University Press. This book was released on 1992 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1993 book enhances our understanding of the mechanisms involved in the low frequency behavior of the El Nino/Southern Oscillation (ENSO) phenomenon.
