Results 271 to 280 of about 3,968,586 (305)

Nonparametric Estimation and Hypothesis Testing in Econometric Models

Empirical Economics, 1988
In this paper we systematically review and develop nonparametric estimation and testing techniques in the context of econometric models. The results are discussed under the settings of regression model and kernel estimation, although as indicated in the paper these results can go through for other econometric models and for the nearest neighbor ...
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A General Approach to Hypothesis Testing for Nonparametric Tests

The Journal of Experimental Education, 1990
Researchers have preferred normal-theory tests over nonparametric procedures, despite evidence that the statistical properties of the latter are sometimes superior for variables and subject populations frequently encountered in educational and psychological research.
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Support Vector Machine for Nonparametric Binary Hypothesis Testing

1999
The Support Vector Machine, introduced in [1] as a practical implementation of the principle of structural risk minimization, constitutes one of the most promising methods for constructing a mathematical model only on the base of a limited amount of measured data. In this paper, we consider the application of this method to the problem of nonparametric
MATTERA D., PALMIERI, Francesco
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Adaptive and spatially adaptive testing of a nonparametric hypothesis

1996
Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
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Nonparametric Hypothesis Tests

2021
R. Russell Rhinehart, Robert M. Bethea
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Bayesian nonparametric hypothesis testing

In this thesis, we propose novel Bayesian Nonparametric hypothesis testing procedures for correlated data. First, we develop and study a proposal for comparing the distributions of paired samples. Next, we propose and analyze a hypothesis testing procedure for longitudinal data analysis.
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A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING [PDF]

, 2001
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.
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Nonparametric Hypotheses and Rank Statistics for Unbalanced Factorial Designs

Journal of the American Statistical Association, 1997
Edgar Brunner, Steven F Arnold, Michael G Akritas   +2 more
exaly   +2 more sources

Nonparametric pragmatic hypothesis testing

2022
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Multiple Hypothesis Testing-Based Cepstrum Thresholding for Nonparametric Spectral Estimation

IEEE Signal Processing Letters, 2022
Petre Stoica, Prabhu Babu
exaly