Results 271 to 280 of about 2,562,360 (318)
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Journal of Environmental Management, 2022
This study aims to examine the heterogeneous causality and impact of environmental taxes at both aggregated and disaggregated levels on environmental quality.
Özer Depren +3 more
semanticscholar +1 more source
This study aims to examine the heterogeneous causality and impact of environmental taxes at both aggregated and disaggregated levels on environmental quality.
Özer Depren +3 more
semanticscholar +1 more source
Journal of Forests, 2020
This study aims to evaluate the robustness of parametric and nonparametric procedures using alternative definitions of validation data for loblolly pine.
Sheng-I Yang, H. Burkhart
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This study aims to evaluate the robustness of parametric and nonparametric procedures using alternative definitions of validation data for loblolly pine.
Sheng-I Yang, H. Burkhart
semanticscholar +1 more source
Robust nonparametric derivative estimator
Communications in Statistics - Simulation and Computation, 2020In this paper, a robust nonparametric derivative estimator is proposed to estimate the derivative function of nonparametric regression when the data contain noise and have curves.
Hamdy F. F. Mahmoud +2 more
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Robust Nonparametric Generators of Random Variables
Russian Physics Journal, 2023A method of constructing consistent and effective algorithms for robust nonparametric generators of random variables is considered for statistical simulation problems and bootstrap procedures. Semiparametric and semi-nonparametric algorithms of generators have been synthesized for inhomogeneous experimental data.
Simakhin, V. A. +2 more
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MOKKEN Test for the Robustness of Nonparametric Stochastic MOKKEN Scales
Educational and Psychological Measurement, 1986J. Kingma, J. Reuvekamp
exaly +2 more sources
Journal of the American Statistical Association, 2000
(2000). Robust Nonparametric Methods. Journal of the American Statistical Association: Vol. 95, No. 452, pp. 1308-1312.
Thomas P. Hettmansperger +2 more
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(2000). Robust Nonparametric Methods. Journal of the American Statistical Association: Vol. 95, No. 452, pp. 1308-1312.
Thomas P. Hettmansperger +2 more
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WIREs Computational Statistics, 2019
Nonparametric statistical inference via permutation testing is on the rise in neuroimaging research. This rise in popularity is likely in response to recent studies that have demonstrated limitations of parametric inference in certain situations ...
Nathaniel E. Helwig
semanticscholar +1 more source
Nonparametric statistical inference via permutation testing is on the rise in neuroimaging research. This rise in popularity is likely in response to recent studies that have demonstrated limitations of parametric inference in certain situations ...
Nathaniel E. Helwig
semanticscholar +1 more source
ROBUST NONPARAMETRIC SIMPLIFICATION OF POLYGONAL CHAINS
International Journal of Computational Geometry & Applications, 2013In this paper we present a novel nonparametric method for simplifying piecewise linear curves and we apply this method as a statistical approximation of structure within sequential data in the plane. Specifically, given a sequence P of n points in the plane that determine a simple polygonal chain consisting of n−1 segments, we describe algorithms for ...
Stephane Durocher +3 more
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On a Nonparametric Robust Method of Detection of Signals
Journal of Mathematical Sciences, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shevlyakov, G. L. +2 more
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