Two Essays in Time Series Analysis

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Publisher :
ISBN 13 :
Total Pages : 290 pages
Book Rating : 4.:/5 (254 download)

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Book Synopsis Two Essays in Time Series Analysis by : Gary Robert Skoog

Download or read book Two Essays in Time Series Analysis written by Gary Robert Skoog and published by . This book was released on 1976 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Essays in Nonlinear Time Series Econometrics

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Publisher : OUP Oxford
ISBN 13 : 0191669547
Total Pages : 393 pages
Book Rating : 4.1/5 (916 download)

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Book Synopsis Essays in Nonlinear Time Series Econometrics by : Niels Haldrup

Download or read book Essays in Nonlinear Time Series Econometrics written by Niels Haldrup and published by OUP Oxford. This book was released on 2014-06-26 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection concerns nonlinear economic relations that involve time. It is divided into four broad themes that all reflect the work and methodology of Professor Timo Teräsvirta, one of the leading scholars in the field of nonlinear time series econometrics. The themes are: Testing for linearity and functional form, specification testing and estimation of nonlinear time series models in the form of smooth transition models, model selection and econometric methodology, and finally applications within the area of financial econometrics. All these research fields include contributions that represent state of the art in econometrics such as testing for neglected nonlinearity in neural network models, time-varying GARCH and smooth transition models, STAR models and common factors in volatility modeling, semi-automatic general to specific model selection for nonlinear dynamic models, high-dimensional data analysis for parametric and semi-parametric regression models with dependent data, commodity price modeling, financial analysts earnings forecasts based on asymmetric loss function, local Gaussian correlation and dependence for asymmetric return dependence, and the use of bootstrap aggregation to improve forecast accuracy. Each chapter represents original scholarly work, and reflects the intellectual impact that Timo Teräsvirta has had and will continue to have, on the profession.

Time Series Analysis Papers

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ISBN 13 :
Total Pages : 588 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Time Series Analysis Papers by : Emanuel Parzen

Download or read book Time Series Analysis Papers written by Emanuel Parzen and published by . This book was released on 1967 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: On consistent estimates of the spectral density of a stationary time series; Analysis of a general system for the detection of amplitude-modulated noise; A central limit theorem for multilinear stochastic processes; Conditions that a stochastic process ber egodic; On consistent estimates of the spectrum of a stationary time series; On choosing an estimate of the spectral density function of a stationary time series; On asymptotically efficient consistent estimates of the spectral density function of a stationary time series; General considerations in the analysis of spectra; Mathematical considerations in the estimation of spectra; Spectral analysis of asymptotically stationary time series; On spectral analysis with missing observations and amplitude modulation; Notes on fourier analysis and spectral windows; Statistical inference on time series by Hilbert space methods; An approach to time series analysis; Regression analysis of continuous parameter time series; A new approach to the synthesis of optimal smoothing and prediction systems; Probability density functionals and reproducing kernel hilbert spaces; Extraction and detection problems and reproducing kernel hilbert spaces; On estimation of a probability density function and mode; On models for the probability of fatigue failure of a structure; An approach to empirical time series analysis.

Essays on Time Series Analysis and Statistical Machine Learning

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Essays on Time Series Analysis and Statistical Machine Learning by : Johanna Meier

Download or read book Essays on Time Series Analysis and Statistical Machine Learning written by Johanna Meier and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Essays on Panel and Nonlinear Time Series Analysis

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Publisher :
ISBN 13 :
Total Pages : 260 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Essays on Panel and Nonlinear Time Series Analysis by : Namwon Hyung

Download or read book Essays on Panel and Nonlinear Time Series Analysis written by Namwon Hyung and published by . This book was released on 1999 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Time Series Analysis

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Publisher : Academic Press
ISBN 13 : 0128131179
Total Pages : 354 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Applied Time Series Analysis by : Terence C. Mills

Download or read book Applied Time Series Analysis written by Terence C. Mills and published by Academic Press. This book was released on 2019-02-08 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others. Focuses on practical application of time series analysis, using step-by-step techniques and without excessive technical detail Supported by copious disciplinary examples, helping readers quickly adapt time series analysis to their area of study Covers both univariate and multivariate techniques in one volume Provides expert tips on, and helps mitigate common pitfalls of, powerful statistical software including EVIEWS and R Written in jargon-free and clear English from a master educator with 30 years+ experience explaining time series to novices Accompanied by a microsite with disciplinary data sets and files explaining how to build the calculations used in examples

Volatility and Time Series Econometrics

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Publisher : Oxford University Press
ISBN 13 : 0199549494
Total Pages : 432 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis Volatility and Time Series Econometrics by : Mark Watson

Download or read book Volatility and Time Series Econometrics written by Mark Watson and published by Oxford University Press. This book was released on 2010-02-11 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: A volume that celebrates and develops the work of Nobel Laureate Robert Engle, it includes original contributions from some of the world's leading econometricians that further Engle's work in time series economics

Three Essays on Time Series Analysis

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ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.:/5 (396 download)

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Book Synopsis Three Essays on Time Series Analysis by : Zhongyun Zhao

Download or read book Three Essays on Time Series Analysis written by Zhongyun Zhao and published by . This book was released on 1997 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Time Series Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1118634233
Total Pages : 620 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Time Series Analysis by : Wilfredo Palma

Download or read book Time Series Analysis written by Wilfredo Palma and published by John Wiley & Sons. This book was released on 2016-04-29 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series Analysis provides a broad introduction to the most fundamental methodologies and techniques of time series analysis. The book focuses on the treatment of univariate time series by illustrating a number of well-known models such as ARMA and ARIMA. Providing contemporary coverage, the book features several useful and newlydeveloped techniques such as weak and strong dependence, Bayesian methods, non-Gaussian data, local stationarity, missing values and outliers, and threshold models. Time Series Analysis includes practical applications of time series methods throughout, as well as: Real-world examples and exercise sets that allow readers to practice the presented methods and techniques Numerous detailed analyses of computational aspects related to the implementation of methodologies including algorithm efficiency, arithmetic complexity, and process time End-of-chapter proposed problems and bibliographical notes to deepen readers’ knowledge of the presented material Appendices that contain details on fundamental concepts and select solutions of the problems implemented throughout A companion website with additional data fi les and computer codes Time Series Analysis is an excellent textbook for undergraduate and beginning graduate-level courses in time series as well as a supplement for students in advanced statistics, mathematics, economics, finance, engineering, and physics. The book is also a useful reference for researchers and practitioners in time series analysis, econometrics, and finance. Wilfredo Palma, PhD, is Professor of Statistics in the Department of Statistics at Pontificia Universidad Católica de Chile. He has published several refereed articles and has received over a dozen academic honors and awards. His research interests include time series analysis, prediction theory, state space systems, linear models, and econometrics. He is the author of Long-Memory Time Series: Theory and Methods, also published by Wiley.

Time Series Analysis for the Social Sciences

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Publisher : Cambridge University Press
ISBN 13 : 1316060500
Total Pages : 297 pages
Book Rating : 4.3/5 (16 download)

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Book Synopsis Time Series Analysis for the Social Sciences by : Janet M. Box-Steffensmeier

Download or read book Time Series Analysis for the Social Sciences written by Janet M. Box-Steffensmeier and published by Cambridge University Press. This book was released on 2014-12-22 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.

Volatility and Time Series Econometrics

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Publisher : OUP Oxford
ISBN 13 : 0191572195
Total Pages : 432 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Volatility and Time Series Econometrics by : Tim Bollerslev

Download or read book Volatility and Time Series Econometrics written by Tim Bollerslev and published by OUP Oxford. This book was released on 2010-02-11 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robert Engle received the Nobel Prize for Economics in 2003 for his work in time series econometrics. This book contains 16 original research contributions by some the leading academic researchers in the fields of time series econometrics, forecasting, volatility modelling, financial econometrics and urban economics, along with historical perspectives related to field of time series econometrics more generally. Engle's Nobel Prize citation focuses on his path-breaking work on autoregressive conditional heteroskedasticity (ARCH) and the profound effect that this work has had on the field of financial econometrics. Several of the chapters focus on conditional heteroskedasticity, and develop the ideas of Engle's Nobel Prize winning work. Engle's work has had its most profound effect on the modelling of financial variables and several of the chapters use newly developed time series methods to study the behavior of financial variables. Each of the 16 chapters may be read in isolation, but they all importantly build on and relate to the seminal work by Nobel Laureate Robert F. Engle.

Three Essays Involving Time Series Analysis

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ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.:/5 (39 download)

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Book Synopsis Three Essays Involving Time Series Analysis by : Jeffrey Harris Dorfman

Download or read book Three Essays Involving Time Series Analysis written by Jeffrey Harris Dorfman and published by . This book was released on 1989 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Research Papers in Statistical Inference for Time Series and Related Models

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Publisher : Springer Nature
ISBN 13 : 9819908035
Total Pages : 591 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Research Papers in Statistical Inference for Time Series and Related Models by : Yan Liu

Download or read book Research Papers in Statistical Inference for Time Series and Related Models written by Yan Liu and published by Springer Nature. This book was released on 2023-05-31 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles theoretical developments on statistical inference for time series and related models in honor of Masanobu Taniguchi's 70th birthday. It covers models such as long-range dependence models, nonlinear conditionally heteroscedastic time series, locally stationary processes, integer-valued time series, Lévy Processes, complex-valued time series, categorical time series, exclusive topic models, and copula models. Many cutting-edge methods such as empirical likelihood methods, quantile regression, portmanteau tests, rank-based inference, change-point detection, testing for the goodness-of-fit, higher-order asymptotic expansion, minimum contrast estimation, optimal transportation, and topological methods are proposed, considered, or applied to complex data based on the statistical inference for stochastic processes. The performances of these methods are illustrated by a variety of data analyses. This collection of original papers provides the reader with comprehensive and state-of-the-art theoretical works on time series and related models. It contains deep and profound treatments of the asymptotic theory of statistical inference. In addition, many specialized methodologies based on the asymptotic theory are presented in a simple way for a wide variety of statistical models. This Festschrift finds its core audiences in statistics, signal processing, and econometrics.

Theory and Applications of Time Series Analysis

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Publisher : Springer Nature
ISBN 13 : 3030260364
Total Pages : 380 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Theory and Applications of Time Series Analysis by : Olga Valenzuela

Download or read book Theory and Applications of Time Series Analysis written by Olga Valenzuela and published by Springer Nature. This book was released on 2019-10-18 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected peer-reviewed contributions from the International Conference on Time Series and Forecasting, ITISE 2018, held in Granada, Spain, on September 19-21, 2018. The first three parts of the book focus on the theory of time series analysis and forecasting, and discuss statistical methods, modern computational intelligence methodologies, econometric models, financial forecasting, and risk analysis. In turn, the last three parts are dedicated to applied topics and include papers on time series analysis in the earth sciences, energy time series forecasting, and time series analysis and prediction in other real-world problems. The book offers readers valuable insights into the different aspects of time series analysis and forecasting, allowing them to benefit both from its sophisticated and powerful theory, and from its practical applications, which address real-world problems in a range of disciplines. The ITISE conference series provides a valuable forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing computer science, mathematics, statistics and econometrics.

Time Series Analysis and Macroeconometric Modelling

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Publisher : Edward Elgar Publishing
ISBN 13 : 9781782541622
Total Pages : 462 pages
Book Rating : 4.5/5 (416 download)

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Book Synopsis Time Series Analysis and Macroeconometric Modelling by : Kenneth Frank Wallis

Download or read book Time Series Analysis and Macroeconometric Modelling written by Kenneth Frank Wallis and published by Edward Elgar Publishing. This book was released on 1995-01-01 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'An excellent reference volume of this author's work, bringing together articles published over a 25 year span on the statistical analysis of economic time series, large scale macroeconomic modelling and the interface between them.' - Aslib Book Guide This major volume of essays by Kenneth F. Wallis features 28 articles published over a quarter of a century on the statistical analysis of economic time series, large-scale macroeconometric modelling, and the interface between them. The first part deals with time-series econometrics and includes significant early contributions to the development of the LSE tradition in time-series econometrics, which is the dominant British tradition and has considerable influence worldwide. Later sections discuss theoretical and practical issues in modelling seasonality and forecasting with applications in both large-scale and small-scale models. The final section summarizes the research programme of the ESRC Macroeconomic Modelling Bureau, a unique comparison project among economy-wide macroeconometric models.

Essays in Panel Data Econometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521022460
Total Pages : 388 pages
Book Rating : 4.0/5 (224 download)

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Book Synopsis Essays in Panel Data Econometrics by : Marc Nerlove

Download or read book Essays in Panel Data Econometrics written by Marc Nerlove and published by Cambridge University Press. This book was released on 2005-11-10 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects seven classic essays on panel data econometrics, and a cogent essay on the history of the subject.

Catalogus Bibliothecae Hesselianae

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (63 download)

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Book Synopsis Catalogus Bibliothecae Hesselianae by :

Download or read book Catalogus Bibliothecae Hesselianae written by and published by . This book was released on 1747 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: