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The Spectral Analysis Of Economic Time Series
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Book Synopsis Spectral Analysis of Economic Time Series. (PSME-1) by : Clive William John Granger
Download or read book Spectral Analysis of Economic Time Series. (PSME-1) written by Clive William John Granger and published by Princeton University Press. This book was released on 2015-12-08 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The important data of economics are in the form of time series; therefore, the statistical methods used will have to be those designed for time series data. New methods for analyzing series containing no trends have been developed by communication engineering, and much recent research has been devoted to adapting and extending these methods so that they will be suitable for use with economic series. This book presents the important results of this research and further advances the application of the recently developed Theory of Spectra to economics. In particular, Professor Hatanaka demonstrates the new technique in treating two problems-business cycle indicators, and the acceleration principle existing in department store data. Originally published in 1964. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Book Synopsis Analysis of Economic Time Series by : Marc Nerlove
Download or read book Analysis of Economic Time Series written by Marc Nerlove and published by Academic Press. This book was released on 2014-05-10 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Economic Time Series: A Synthesis integrates several topics in economic time-series analysis, including the formulation and estimation of distributed-lag models of dynamic economic behavior; the application of spectral analysis in the study of the behavior of economic time series; and unobserved-components models for economic time series and the closely related problem of seasonal adjustment. Comprised of 14 chapters, this volume begins with a historical background on the use of unobserved components in the analysis of economic time series, followed by an Introduction to the theory of stationary time series. Subsequent chapters focus on the spectral representation and its estimation; formulation of distributed-lag models; elements of the theory of prediction and extraction; and formulation of unobserved-components models and canonical forms. Seasonal adjustment techniques and multivariate mixed moving-average autoregressive time-series models are also considered. Finally, a time-series model of the U.S. cattle industry is presented. This monograph will be of value to mathematicians, economists, and those interested in economic theory, econometrics, and mathematical economics.
Book Synopsis Spectral Analysis of Economic Time Series by : Clive William John Granger
Download or read book Spectral Analysis of Economic Time Series written by Clive William John Granger and published by . This book was released on 1964 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Spectral Analysis of Economic Time Series by : Jon Cunnyngham
Download or read book The Spectral Analysis of Economic Time Series written by Jon Cunnyngham and published by . This book was released on 1963 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time series are an important source of data, not only to economics, but to many other disciplines as well. The post-war period has seen a great expansion in the statistical and computer techniques available for the analysis of these time series, as well as in the understanding and general application of them. Many of the theoretical advances in regression and correlation analysis in the presence of serial correlation or autoregression have been contributed by economists, and the basic techniques have been picked up by the profession. Concomitantly, a great part of the statistical time series work done by economists has been based upon regression techniques.
Book Synopsis Spectral Analysis of Economic Time Series by : Clive W. J. Granger
Download or read book Spectral Analysis of Economic Time Series written by Clive W. J. Granger and published by . This book was released on 1971 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spectral Analysis of Economic Time Series by : Henrik Ibsen
Download or read book Spectral Analysis of Economic Time Series written by Henrik Ibsen and published by . This book was released on 1964 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Spectral Analysis of Time Series by : L. H. Koopmans
Download or read book The Spectral Analysis of Time Series written by L. H. Koopmans and published by Academic Press. This book was released on 2014-05-12 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Spectral Analysis of Time Series describes the techniques and theory of the frequency domain analysis of time series. The book discusses the physical processes and the basic features of models of time series. The central feature of all models is the existence of a spectrum by which the time series is decomposed into a linear combination of sines and cosines. The investigator can used Fourier decompositions or other kinds of spectrals in time series analysis. The text explains the Wiener theory of spectral analysis, the spectral representation for weakly stationary stochastic processes, and the real spectral representation. The book also discusses sampling, aliasing, discrete-time models, linear filters that have general properties with applications to continuous-time processes, and the applications of multivariate spectral models. The text describes finite parameter models, the distribution theory of spectral estimates with applications to statistical inference, as well as sampling properties of spectral estimates, experimental design, and spectral computations. The book is intended either as a textbook or for individual reading for one-semester or two-quarter course for students of time series analysis users. It is also suitable for mathematicians or professors of calculus, statistics, and advanced mathematics.
Book Synopsis Singular Spectrum Analysis for Time Series by : Nina Golyandina
Download or read book Singular Spectrum Analysis for Time Series written by Nina Golyandina and published by Springer Nature. This book was released on 2020-11-23 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas. Rapidly increasing number of novel applications of SSA is a consequence of the new fundamental research on SSA and the recent progress in computing and software engineering which made it possible to use SSA for very complicated tasks that were unthinkable twenty years ago. In this book, the methodology of SSA is concisely but at the same time comprehensively explained by two prominent statisticians with huge experience in SSA. The book offers a valuable resource for a very wide readership, including professional statisticians, specialists in signal and image processing, as well as specialists in numerous applied disciplines interested in using statistical methods for time series analysis, forecasting, signal and image processing. The second edition of the book contains many updates and some new material including a thorough discussion on the place of SSA among other methods and new sections on multivariate and multidimensional extensions of SSA.
Book Synopsis Spectral Analysis of Economic Time Series by : Clive William John Granger
Download or read book Spectral Analysis of Economic Time Series written by Clive William John Granger and published by . This book was released on 1964 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Note on Spectral Analysis of Economic Time Series Involving Feedback by :
Download or read book A Note on Spectral Analysis of Economic Time Series Involving Feedback written by and published by . This book was released on 1976 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Use of Spectral Analysis in the Study of Economic Time Series by : John J. Vincent
Download or read book The Use of Spectral Analysis in the Study of Economic Time Series written by John J. Vincent and published by . This book was released on 1966 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spectral Analysis of Economic Time Series by : John Coshall
Download or read book Spectral Analysis of Economic Time Series written by John Coshall and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forecasting Economic Time Series by : C. W. J. Granger
Download or read book Forecasting Economic Time Series written by C. W. J. Granger and published by Academic Press. This book was released on 2014-05-10 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.
Book Synopsis New Tools of Economic Dynamics by : Jacek Leskow
Download or read book New Tools of Economic Dynamics written by Jacek Leskow and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: New Tools of Economic Dynamics gives an introduction and overview of recently developed methods and tools, most of them developed outside economics, to deal with the qualitative analysis of economic dynamics. It reports the results of a three-year research project by a European and Latin American network on the intersection of economics with mathematical, statistical, and computational methods and techniques. Focusing upon the evolution and manifold structure of complex dynamic phenomena, the book reviews and shows applications of a variety of tools, such as symbolic and coded dynamics, interacting agents models, microsimulation in econometrics, large-scale system analysis, and dynamical systems theory. It shows the potential of a comprehensive analysis of growth, fluctuations, and structural change along the lines indicated by pioneers like Harrod, Haavelmo, Hicks, Goodwin, Morishima, and it highlights the explanatory power of the qualitative approach they initiated.
Book Synopsis Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series by : K. Dzhaparidze
Download or read book Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series written by K. Dzhaparidze and published by Springer Science & Business Media. This book was released on 1986 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: . . ) (under the assumption that the spectral density exists). For this reason, a vast amount of periodical and monographic literature is devoted to the nonparametric statistical problem of estimating the function tJ( T) and especially that of leA) (see, for example, the books [4,21,22,26,56,77,137,139,140,]). However, the empirical value t;; of the spectral density I obtained by applying a certain statistical procedure to the observed values of the variables Xl' . . . , X , usually depends in n a complicated manner on the cyclic frequency). . This fact often presents difficulties in applying the obtained estimate t;; of the function I to the solution of specific problems rela ted to the process X . Theref ore, in practice, the t obtained values of the estimator t;; (or an estimator of the covariance function tJ~( T» are almost always "smoothed," i. e. , are approximated by values of a certain sufficiently simple function 1 = 1
Book Synopsis The Spectral Analysis of Time Series by : Lambert Herman Koopmans
Download or read book The Spectral Analysis of Time Series written by Lambert Herman Koopmans and published by . This book was released on 1974 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Spectral Analysis of Time Series ...
Book Synopsis Spectral Analysis of Economic Time Series Behaviour by : Peijie Wang
Download or read book Spectral Analysis of Economic Time Series Behaviour written by Peijie Wang and published by . This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysing the whole spectrum of time series, this paper proposes a frequency domain approach to measuring persistence and examining the associated time series properties. Two statistics have been developed to identify typical patterns and behaviour in economic and financial data.