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The Fusion of Parametric and Non-Parametric Hypothesis Tests
Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003This paper considers the hypothesis testing problem when two sets of data having significantly different types of prior information are fused. The probability density function of the data in the first set is assumed to be known to within a finite set of parameters so that aparometric test can be used to test the hypothesis.
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A Non-Parametric Sequential Rank-Sum Probability Ratio Test Method for Binary Hypothesis Testing
Signal Processing, 2004Sequential probability ratio test (SPRT) is a common technique for binary hypothesis testing. To use SPRT, one needs to assume a distribution function, such as Gaussian, for samples. However, in some applications the sample distribution is unknown, non-Gaussian, and/or cannot be specified by a simple function.
Bingjing Su
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A Bayesian alternative to parametric hypothesis testing
Test, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raul Rueda
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On the Cramér–Von Mises Test With Parametric Hypothesis for Poisson Processes
Statistical Inference for Stochastic Processes, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Inferential Statistics II: Parametric Hypothesis Testing
2019Andrew P. King, Robert J. Eckersley
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Nonparametric Hypothesis Testing with Parametric Rates of Convergence
International Economic Review, 1991Nonparametric estimators are frequently criticized for their poor performance in small samples. In this paper, the author considers using kernel methods for the estimation of the expected derivatives of a regression function. The proposed estimators are shown to be asymptotically normal and n-consistent.
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The parametric hypothesis test of multiple uniform populations
Communications in Statistics - Theory and Methods, 2016ABSTRACTX1, X2, …, Xk are k(k ⩾ 2) uniform populations which each Xi follows U(0, θi). This note shows the test statistic for the null hypothesis H0: θ1 = θ2 = ⋅⋅⋅ = θk by using the order statistics.
Xu Chen, Wang Qi
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Testing the export-growth hypothesis: some parametric and non-parametric for Ghana
Applied Economics, 1993To test the export-growth hypothesis for Ghana, four parametric causality models (the Granger model, the Sims model, the modified Sims model, the Akaike Final Prediction Error model) and the non-parametric multiple rank F-test model of Holmes and Hutton are estimated for a variety of variable specifications and lag structures.
Daniel V. Gordon, Kwabena Sakyi-Bekoe
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Hypothesis testing in the unrestricted and restricted parametric spaces of structural models
Computational Statistics & Data Analysis, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michelli Barros +2 more
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Hypothesis Testing and Nonparametric Test
2018It is often required to make some inferences about some parameter of the population on the basis of available data. Such inferences are very important in hydrology and hydroclimatology where the available data is generally limited. This is done through hypothesis testing.
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