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Titlebook: Contemporary Developments in Statistical Theory; A Festschrift for Hi Soumendra Lahiri,Anton Schick,T.N. Sriram Conference proceedings 2014

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发表于 2025-3-21 18:08:30 | 显示全部楼层 |阅读模式
书目名称Contemporary Developments in Statistical Theory
副标题A Festschrift for Hi
编辑Soumendra Lahiri,Anton Schick,T.N. Sriram
视频video
概述Features original articles by distinguished statisticians from around the world.Topics include modern asymptotic theory of statistics, robustness, long range dependence in time series, martingale tran
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Contemporary Developments in Statistical Theory; A Festschrift for Hi Soumendra Lahiri,Anton Schick,T.N. Sriram Conference proceedings 2014
描述.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..
出版日期Conference proceedings 2014
关键词Asymptotic theory; Goodness of fit tests; long range dependence; martingale transform; signed rank test;
版次1
doihttps://doi.org/10.1007/978-3-319-02651-0
isbn_softcover978-3-319-37580-9
isbn_ebook978-3-319-02651-0Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer International Publishing Switzerland 2014
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Testing for Long Memory Using Penalized Splines and Adaptive Neyman Methods,nte Carlo methods are investigated to determine the corresponding critical value. The finite-sample properties of our procedure are compared to other well-known tests in the literature. These show that the empirical size properties of the new statistic can be very robust compared to existing tests and also that it competes well in terms of power.
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2194-1009 tness, long range dependence in time series, martingale tran.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 ser
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Unternehmenskultur in der CbTF,such, the averaged regression quantile provides various scale statistics, used for studentization and standardization in linear model, and an estimate of quantile density based on regression data. The properties are numerically illustrated.
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Einleitung und Gang der Untersuchung,ts the partial sum process idea used in the independent observations settings to construct the tests and derives their asymptotics under both null and alternative hypotheses. Then, a Monte Carlo simulation is conducted to study the finite sample level and power behavior of these tests at both fixed and local alternatives.
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Conference proceedings 2014Weighted 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 a
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