On the estimation of the characteristic function in finite populations with applications

DOI10.1007/s11749-016-0514-2zbMath1386.62003OpenAlexW2559248637MaRDI QIDQ1708363

J. A. Mayor-Gallego, Juan Luis Moreno-Rebollo, M. Dolores Jiménez-Gamero

Publication date: 23 March 2018

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-016-0514-2

zbMATH Keywords

characteristic functionfinite populationtest for independencedesign-based inferencetest for symmetryhigh entropy designstest for the two-sample problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Sampling theory, sample surveys (62D05) Nonparametric statistical resampling methods (62G09)

Related Items (3)

Approximating the null distribution of a class of statistics for testing independence ⋮ Editorial ⋮ Bayesian network structural learning from complex survey data: a resampling based approach

Cites Work

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• Measuring and testing dependence by correlation of distances
• Sample distribution function based goodness-of-fit test for complex surveys
• Tests for independence in non-parametric heteroscedastic regression models
• Goodness-of-fit tests based on empirical characteristic functions
• Fourier methods for testing multivariate independence
• A test for the two-sample problem based on empirical characteristic functions
• Testing for independence by the empirical characteristic function
• Limit behaviour of the empirical characteristic function
• Weak convergence of the empirical characteristic function
• Model assisted survey sampling
• The empirical characteristic function and its applications
• A consistent modification of a test for independence based on the empirical characteristic function
• Permutation tests for reflected symmetry
• Rate of convergence to normal distribution for the Horvitz-Thompson estimator.
• Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates
• Invariant tests for symmetry about an unspecified point based on the empirical characteristic function.
• A fast algorithm for two-dimensional Kolmogorov-Smirnov two sample tests
• Checking the adequacy of the multivariate semiparametric location shift model
• On the estimation of the distribution function of a finite population under high entropy sampling designs, with applications
• Sampling algorithms.
• Tests for the multivariatek-sample problem based on the empirical characteristic function
• Survey Design Under the Regression Superpopulation Model
• Inference for Quantiles of a Finite Population: Asymptotic versus Resampling Results
• Permutation tests for homogeneity based on the empirical characteristic function
• Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population

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