Weighted Empirical Processes in Dynamic Nonlinear Models

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Publisher :
ISBN 13 : 9781461300564
Total Pages : 448 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis Weighted Empirical Processes in Dynamic Nonlinear Models by : Hira L. Koul

Download or read book Weighted Empirical Processes in Dynamic Nonlinear Models written by Hira L. Koul and published by . This book was released on 2011-04-01 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Weighted empirical processes in dynamic nonlinear models

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ISBN 13 : 9783540954767
Total Pages : 425 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Weighted empirical processes in dynamic nonlinear models by : Hira L. Koul

Download or read book Weighted empirical processes in dynamic nonlinear models written by Hira L. Koul and published by . This book was released on 2002 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Weighted Empirical Processes in Dynamic Nonlinear Models

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Publisher : Springer Science & Business Media
ISBN 13 : 146130055X
Total Pages : 444 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Weighted Empirical Processes in Dynamic Nonlinear Models by : Hira L. Koul

Download or read book Weighted Empirical Processes in Dynamic Nonlinear Models written by Hira L. Koul and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a unified approach for obtaining the limiting distributions of minimum distance. It discusses classes of goodness-of-t tests for fitting an error distribution in some of these models and/or fitting a regression-autoregressive function without assuming the knowledge of the error distribution. The main tool is the asymptotic equi-continuity of certain basic weighted residual empirical processes in the uniform and L2 metrics.

Nonparametric Goodness-of-Fit Testing Under Gaussian Models

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Publisher : Springer Science & Business Media
ISBN 13 : 0387215808
Total Pages : 471 pages
Book Rating : 4.08/5 ( download)

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Book Synopsis Nonparametric Goodness-of-Fit Testing Under Gaussian Models by : Yuri Ingster

Download or read book Nonparametric Goodness-of-Fit Testing Under Gaussian Models written by Yuri Ingster and published by Springer Science & Business Media. This book was released on 2012-11-12 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the modern theory of nonparametric goodness-of-fit testing. It fills the gap in modern nonparametric statistical theory by discussing hypothesis testing and addresses mathematical statisticians who are interesting in the theory of non-parametric statistical inference. It will be of interest to specialists who are dealing with applied non-parametric statistical problems relevant in signal detection and transmission and in technical and medical diagnostics among others.

Case Studies in Bayesian Statistics

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Publisher : Springer
ISBN 13 : 1461220785
Total Pages : 384 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Case Studies in Bayesian Statistics by : Constantine Gatsonis

Download or read book Case Studies in Bayesian Statistics written by Constantine Gatsonis and published by Springer. This book was released on 2018-08-17 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains invited case studies with the accompanying discussion as well as contributed papers selected by a refereeing process of 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University in October, 2001.

Large Sample Inference For Long Memory Processes

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Publisher : World Scientific Publishing Company
ISBN 13 : 1911299387
Total Pages : 596 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Large Sample Inference For Long Memory Processes by : Donatas Surgailis

Download or read book Large Sample Inference For Long Memory Processes written by Donatas Surgailis and published by World Scientific Publishing Company. This book was released on 2012-04-27 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Box and Jenkins (1970) made the idea of obtaining a stationary time series by differencing the given, possibly nonstationary, time series popular. Numerous time series in economics are found to have this property. Subsequently, Granger and Joyeux (1980) and Hosking (1981) found examples of time series whose fractional difference becomes a short memory process, in particular, a white noise, while the initial series has unbounded spectral density at the origin, i.e. exhibits long memory.Further examples of data following long memory were found in hydrology and in network traffic data while in finance the phenomenon of strong dependence was established by dramatic empirical success of long memory processes in modeling the volatility of the asset prices and power transforms of stock market returns.At present there is a need for a text from where an interested reader can methodically learn about some basic asymptotic theory and techniques found useful in the analysis of statistical inference procedures for long memory processes. This text makes an attempt in this direction. The authors provide in a concise style a text at the graduate level summarizing theoretical developments both for short and long memory processes and their applications to statistics. The book also contains some real data applications and mentions some unsolved inference problems for interested researchers in the field./a

Contemporary Developments in Statistical Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 3319026518
Total Pages : 395 pages
Book Rating : 4.10/5 ( download)

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Book Synopsis Contemporary Developments in Statistical Theory by : Soumendra Lahiri

Download or read book Contemporary Developments in Statistical Theory written by Soumendra Lahiri and published by Springer Science & Business Media. This book was released on 2013-12-02 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights Prof. Hira Koul’s achievements in many areas of Statistics, including Asymptotic theory of statistical inference, Robustness, Weighted empirical processes and their applications, Survival Analysis, Nonlinear time series and Econometrics, among others. Chapters are all original papers that explore the frontiers of these areas and will assist researchers and graduate students working in Statistics, Econometrics and related areas. Prof. Hira Koul was the first Ph.D. student of Prof. Peter Bickel. His distinguished career in Statistics includes the receipt of many prestigious awards, including the Senior Humbolt award (1995), and dedicated service to the profession through editorial work for journals and through leadership roles in professional societies, notably as the past president of the International Indian Statistical Association. Prof. Hira Koul has graduated close to 30 Ph.D. students, and made several seminal contributions in about 125 innovative research papers. The long list of his distinguished collaborators is represented by the contributors to this volume.

Analytical Methods in Statistics

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Publisher : Springer Nature
ISBN 13 : 3030488144
Total Pages : 159 pages
Book Rating : 4.47/5 ( download)

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Book Synopsis Analytical Methods in Statistics by : Matúš Maciak

Download or read book Analytical Methods in Statistics written by Matúš Maciak and published by Springer Nature. This book was released on 2020-07-19 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019. Real-life problems demand statistical solutions, which in turn require new and profound mathematical methods. As such, the book is not only a collection of solved problems but also a source of new methods and their practical extensions. The authoritative contributions focus on analytical methods in statistics, asymptotics, estimation and Fisher information, robustness, stochastic models and inequalities, and other related fields; further, they address e.g. average autoregression quantiles, neural networks, weighted empirical minimum distance estimators, implied volatility surface estimation, the Grenander estimator, non-Gaussian component analysis, meta learning, and high-dimensional errors-in-variables models.

Essays in Honor of Joon Y. Park

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Publisher : Emerald Group Publishing
ISBN 13 : 1837532109
Total Pages : 360 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Essays in Honor of Joon Y. Park by : Yoosoon Chang

Download or read book Essays in Honor of Joon Y. Park written by Yoosoon Chang and published by Emerald Group Publishing. This book was released on 2023-04-24 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes 45a and 45b of Advances in Econometrics honor Professor Joon Y. Park, who has made numerous and substantive contributions to the field of econometrics over a career spanning four decades since the 1980s and counting.

Statistical Matching

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Publisher : Springer Science & Business Media
ISBN 13 : 1461300533
Total Pages : 260 pages
Book Rating : 4.33/5 ( download)

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Book Synopsis Statistical Matching by : Susanne Rässler

Download or read book Statistical Matching written by Susanne Rässler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Government policy questions and media planning tasks may be answered by this data set. It covers a wide range of different aspects of statistical matching that in Europe typically is called data fusion. A book about statistical matching will be of interest to researchers and practitioners, starting with data collection and the production of public use micro files, data banks, and data bases. People in the areas of database marketing, public health analysis, socioeconomic modeling, and official statistics will find it useful.