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

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書目名稱Contemporary Developments in Statistical Theory影響因子(影響力)




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書目名稱Contemporary Developments in Statistical Theory讀者反饋學(xué)科排名

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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