Asymptotics, Nonparametrics, and Time Series

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Publisher : CRC Press
ISBN 13 : 9780824700515
Total Pages : 864 pages
Book Rating : 4.7/5 (5 download)

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Book Synopsis Asymptotics, Nonparametrics, and Time Series by : Subir Ghosh

Download or read book Asymptotics, Nonparametrics, and Time Series written by Subir Ghosh and published by CRC Press. This book was released on 1999-02-18 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models."

A Companion to Economic Forecasting

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Publisher : John Wiley & Sons
ISBN 13 : 140517191X
Total Pages : 616 pages
Book Rating : 4.4/5 (51 download)

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Book Synopsis A Companion to Economic Forecasting by : Michael P. Clements

Download or read book A Companion to Economic Forecasting written by Michael P. Clements and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely surveying forecasting in a single volume, the Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed.

Statistical Inference for Ergodic Diffusion Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 144713866X
Total Pages : 493 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Statistical Inference for Ergodic Diffusion Processes by : Yury A. Kutoyants

Download or read book Statistical Inference for Ergodic Diffusion Processes written by Yury A. Kutoyants and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.

Economic Time Series

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Publisher : CRC Press
ISBN 13 : 1439846588
Total Pages : 544 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Economic Time Series by : William R. Bell

Download or read book Economic Time Series written by William R. Bell and published by CRC Press. This book was released on 2018-11-14 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time s

Developments in Robust Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 364257338X
Total Pages : 445 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Developments in Robust Statistics by : Rudolf Dutter

Download or read book Developments in Robust Statistics written by Rudolf Dutter and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects of Robust Statistics. For instance, the fundamental problem of data summary (weights of evidence) is considered and its robustness properties are studied. Further theoretical subjects include e.g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.

Long-Range Dependent Processes: Theory and Applications

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Publisher : Frontiers Media SA
ISBN 13 : 2832508502
Total Pages : 160 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Long-Range Dependent Processes: Theory and Applications by : Ming Li

Download or read book Long-Range Dependent Processes: Theory and Applications written by Ming Li and published by Frontiers Media SA. This book was released on 2022-12-05 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference for Spatial Poisson Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 1461217067
Total Pages : 282 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Statistical Inference for Spatial Poisson Processes by : Yu A. Kutoyants

Download or read book Statistical Inference for Spatial Poisson Processes written by Yu A. Kutoyants and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is devoted to several problems of parametric (mainly) and nonparametric estimation through the observation of Poisson processes defined on general spaces. Poisson processes are quite popular in applied research and therefore they attract the attention of many statisticians. There are a lot of good books on point processes and many of them contain chapters devoted to statistical inference for general and partic ular models of processes. There are even chapters on statistical estimation problems for inhomogeneous Poisson processes in asymptotic statements. Nevertheless it seems that the asymptotic theory of estimation for nonlinear models of Poisson processes needs some development. Here nonlinear means the models of inhomogeneous Pois son processes with intensity function nonlinearly depending on unknown parameters. In such situations the estimators usually cannot be written in exact form and are given as solutions of some equations. However the models can be quite fruitful in en gineering problems and the existing computing algorithms are sufficiently powerful to calculate these estimators. Therefore the properties of estimators can be interesting too.

Statistical Theory and Method Abstracts

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Publisher :
ISBN 13 :
Total Pages : 882 pages
Book Rating : 4.:/5 (7 download)

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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 882 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Robotics and Applications

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Publisher : Springer Nature
ISBN 13 : 303113835X
Total Pages : 808 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Intelligent Robotics and Applications by : Honghai Liu

Download or read book Intelligent Robotics and Applications written by Honghai Liu and published by Springer Nature. This book was released on 2022-08-03 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNAI 13455 - 13458 constitutes the proceedings of the 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022, which took place in Harbin China, during August 2022. The 284 papers included in these proceedings were carefully reviewed and selected from 442 submissions. They were organized in topical sections as follows: Robotics, Mechatronics, Applications, Robotic Machining, Medical Engineering, Soft and Hybrid Robots, Human-robot Collaboration, Machine Intelligence, and Human Robot Interaction.

Journal of Contemporary Mathematical Analysis

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Publisher :
ISBN 13 :
Total Pages : 576 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Journal of Contemporary Mathematical Analysis by :

Download or read book Journal of Contemporary Mathematical Analysis written by and published by . This book was released on 2001 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability and Mathematical Statistics

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Publisher :
ISBN 13 :
Total Pages : 530 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Probability and Mathematical Statistics by :

Download or read book Probability and Mathematical Statistics written by and published by . This book was released on 2001 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bulletin - Institute of Mathematical Statistics

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Publisher :
ISBN 13 :
Total Pages : 730 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Bulletin - Institute of Mathematical Statistics by : Institute of Mathematical Statistics

Download or read book Bulletin - Institute of Mathematical Statistics written by Institute of Mathematical Statistics and published by . This book was released on 1996 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Annals of Statistics

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Publisher :
ISBN 13 :
Total Pages : 912 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis The Annals of Statistics by :

Download or read book The Annals of Statistics written by and published by . This book was released on 2007 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Time Series Models

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Publisher : CRC Press
ISBN 13 : 1000109909
Total Pages : 240 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Time Series Models by : D.R. Cox

Download or read book Time Series Models written by D.R. Cox and published by CRC Press. This book was released on 2020-11-26 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven partly by the need to analyze financial data. The five papers in this book describe those new developments from various viewpoints and are intended to be an introduction accessible to readers from a range of backgrounds. The book arises out of the second Seminaire European de Statistique (SEMSTAT) held in Oxford in December 1994. This brought together young statisticians from across Europe, and a series of introductory lectures were given on topics at the forefront of current research activity. The lectures form the basis for the five papers contained in the book. The papers by Shephard and Johansen deal respectively with time series models for volatility, i.e. variance heterogeneity, and with cointegration. Clements and Hendry analyze the nature of prediction errors. A complementary review paper by Laird gives a biometrical view of the analysis of short time series. Finally Astrup and Nielsen give a mathematical introduction to the study of option pricing. Whilst the book draws its primary motivation from financial series and from multivariate econometric modelling, the applications are potentially much broader.

Non-Gaussian Autoregressive-Type Time Series

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Publisher : Springer Nature
ISBN 13 : 9811681627
Total Pages : 238 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Non-Gaussian Autoregressive-Type Time Series by : N. Balakrishna

Download or read book Non-Gaussian Autoregressive-Type Time Series written by N. Balakrishna and published by Springer Nature. This book was released on 2022-01-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data. This book collects and collates most of the available models in the field and provide their probabilistic and inferential properties. This book classifies the stationary time-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian marginal distributions, product autoregressive models and minification models. Even though several non-Gaussian time-series models are available in the literature, most of them are focusing on the model structure and the probabilistic properties.

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.

The Econometric Analysis of Time Series

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Publisher : MIT Press
ISBN 13 : 9780262081894
Total Pages : 418 pages
Book Rating : 4.0/5 (818 download)

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Book Synopsis The Econometric Analysis of Time Series by : Andrew C. Harvey

Download or read book The Econometric Analysis of Time Series written by Andrew C. Harvey and published by MIT Press. This book was released on 1990 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Econometric Analysis of Time Series focuses on the statistical aspects of model building, with an emphasis on providing an understanding of the main ideas and concepts in econometrics rather than presenting a series of rigorous proofs.