Results 31 to 40 of about 605,324 (233)
A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
MethodsX, 2023 Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli +2 more
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Diagnostic tests 4: likelihood ratios [PDF]
BMJ, 2004 The properties of a diagnostic or screening test are often described using sensitivity and specificity or predictive values, as described in previous Notes.1 2 Likelihood ratios are alternative statistics for summarising diagnostic accuracy, which have several particularly powerful properties that make them more useful clinically than other statistics ...
Deeks, J, Altman, D
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Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test [PDF]
The Egyptian Statistical Journal, 2003 An asymptotic approach for conducting power analysis is described for the multiple logistic regression model. It is based on the likelihood ratio test statistic.
Marwa Ahmed, Magued Osman, Sanaa Ismail
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Effective ellipse detector with polygonal curve and likelihood ratio test
IET Computer Vision, 2015 A robust ellipse detector is proposed. The detector preprocesses the edge map by removing all the isolated points and conjunction points, and exploits polygonal curve to extract the elliptical arcs.
Tingting Lu +3 more
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An Empirical Likelihood Ratio Test for Normality [PDF]
Communications in Statistics - Simulation and Computation, 2007 The empirical likelihood ratio (ELR) test for the problem of testing for normality is derived in this article. The sampling properties of the ELR test and four other commonly used tests are provided and analyzed using the Monte Carlo simulation technique.
Lauren Bin Dong, David E. A. Giles
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Gaussian universal likelihood ratio testing
Biometrika, 2022 Summary The classical likelihood ratio test based on the asymptotic chi-squared distribution of the log-likelihood is one of the fundamental tools of statistical inference. A recent universal likelihood ratio test approach based on sample splitting provides valid hypothesis tests and confidence sets in any setting for which we can ...
Robin Dunn +3 more
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The Likelihood Ratio Test of Common Factors under Non-Ideal Conditions [PDF]
Investigaciones Regionales - Journal of Regional Research, 2011 The Spatial Durbin model occupies an interesting position in SpatialEconometrics. It is the reduced form of a model with cross-sectional dependencein the errors and it may be used as the nesting equation in a more general approachof model selection ...
Ana M. Angulo, Jesús Mur
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Generalized Correlation Coefficient Based on Log Likelihood Ratio Test Statistic
MATEC Web of Conferences, 2016 In this paper, I point out that both Joe’s and Ding’s strength statistics can only be used for testing the pair-wise independence, and I propose a novel G-square based strength statistic, called Liu’s generalized correlation coefficient, it can be used ...
Liu Hsiang-Chuan
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Likelihood Ratio Test for the Hyper-Block Matrix Sphericity Covariance Structure
Revstat Statistical Journal, 2018 In this paper the authors introduce the hyper-block matrix sphericity test which is a generalization of both the block-matrix and the block-scalar sphericity tests and as such also of the common sphericity test. This test is a tool of crucial importance
Bárbara R. Correia +2 more
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Pseudo-Poisson Distributions with Concomitant Variables
Mathematical and Computational Applications, 2023 It has been argued in Arnold and Manjunath (2021) that the bivariate pseudo-Poisson distribution will be the model of choice for bivariate data with one equidispersed marginal and the other marginal over-dispersed.
Barry C. Arnold, Bangalore G. Manjunath
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