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Behavioural Characterisation and Pharmacological Validation of an Incisional Wound-Related Pain Model. [PDF]

Eur J Pain
Healy CR, Redmond MC, Hopkins M, Gethin G, Pandit A, Finn DP.   +5 more
europepmc   +1 more source

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A Bayesian alternative to parametric hypothesis testing

Test, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raúl Rueda
exaly   +2 more sources

The fusion of parametric and non-parametric hypothesis tests

Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003
This 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.
exaly   +2 more sources

A non-parametric sequential rank-sum probability ratio test method for binary hypothesis testing

Signal Processing, 2004
Sequential 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
exaly   +4 more sources

On the Cramér–von Mises test with parametric hypothesis for poisson processes

Statistical Inference for Stochastic Processes, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +3 more sources

Inferential Statistics II: Parametric Hypothesis Testing

2019
Andrew P. King, Robert J. Eckersley
exaly   +2 more sources

The parametric hypothesis test of multiple uniform populations

Communications in Statistics - Theory and Methods, 2016
ABSTRACTX1, 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
openaire   +1 more source

Nonparametric Hypothesis Testing with Parametric Rates of Convergence

International Economic Review, 1991
Nonparametric 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.
openaire   +1 more source