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Author:   Michael G. Akritas ,  S. N. Lahiri ,  Dimitris N. Politis
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2014
Volume:   74
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   5.796kg
ISBN:  

9781493945818

ISBN 10:   1493945815
Pages:   367
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

A cost based reweighed scheme of Principal Support Vector Machine.- Power assessment of a new test of independence.- Empirical.- Divergence Minimizers for Hadamard Differentiable Functionals.- Advances in permutation tests for covariates in a mixture model for preference data analysis.- Semiparametric generalized estimating equations in misspecified models.- Local Covariance Estimation using Costationarity.- Stable Non-parametric Signal Filtration in Nonlinear Models.- Block bootstrap for the autocovariance coefficients of periodically correlated time series.- Bootstrapping Realized Bipower Variation.- Multiple testing approaches for removing background noise from images.- Peak-Load Forecasting using a Functional Semi-Parametric Approach.- An open problem on strongly consistent learning of the best prediction for Gaussian processes.- Testing for equality of an increasing number of spectral density functions.- Multiscale local polynomial models for estimation and testing.- Distributions of Clusters of Exceedances and Their Applications in Telecommunication Networks.- Diagnostic procedures for spherically symmetric distributions.- A nonparametric causality test: Detection of direct causal effects in multivariate systems using Corrected Partial Transfer Entropy.- A high performance biomarker detection method for exhaled breath mass spectrometry data.- Local polynomials for variable selection.- On the CLT on Low Dimensional Stratified Spaces- Kernel Density Outlier Detector.- Model Selection for Classification with a Large Number of Classes.-Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors.- Bootstrap confidence intervals in nonparametric regression without an additive model.- Heteroskedastic linear regression: steps towards adaptivity, efficiency, and robustness- Level Set Estimation.- Nonparametric Permutation-Based Control Charts for Ordinal Data.- The latest advances on the Hill estimator and its modifications.- Multivariate Stochastic Volatility Estimation Using Particle Filters.- Guaranteed Estimation of Logarithmic Density Derivative by Dependent Observations.- Nonparametric Statistics and High/Infinite Dimensional Data.

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M.G. Akritas, S.N. Lahiri and D.N. Politis are the first executive committee members of ISNPS (the International Society for Nonparametric Statistics) and the editors of this volume.

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