Results 31 to 40 of about 566,288 (201)

Likelihood Ratio Test for the Hyper-Block Matrix Sphericity Covariance Structure

open access: yesRevstat 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
doaj   +1 more source

Pseudo-Poisson Distributions with Concomitant Variables

open access: yesMathematical 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
doaj   +1 more source

Likelihood ratio test between two groups of castor oil plant traits

open access: yesCiência Rural, 2016
: The likelihood ratio test (LRT), to the independence between two sets of variables, allows to identify whether there is a dependency relationship between them. The aim of this study was to calculate the type I error and power of the LRT for determining
Betania Brum   +4 more
doaj   +1 more source

Obtaining Reliable Likelihood Ratio Tests from Simulated Likelihood Functions [PDF]

open access: yesPLoS ONE, 2014
Models allowing for continuous heterogeneity by assuming that value of one or more parameters follow a specified distribution have become increasingly popular. This is known as 'mixing' parameters, and it is standard practice by researchers--and the default option in many statistical programs--to base test statistics for mixed models on simulations ...
openaire   +7 more sources

Applying the Binary Logistic Regression Analysis on The Medical Data

open access: yesScience Journal of University of Zakho, 2017
In this paper, the Binary Logistic Regression Analysis BLRA technique has been used and applied for building the best model for Hepatitis disease data using best subsets regression and stepwise procedures and depending on some laboratory tests such as ...
Qais M. Abdulqader
doaj   +1 more source

Likelihood Ratio Tests in Contamination Models [PDF]

open access: yesBernoulli, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lemdanni, M., Pons, O.
openaire   +4 more sources

Parameter Estimation and Hypothesis Testing of Geographically Weighted Multivariate Generalized Poisson Regression

open access: yesMathematics, 2020
We introduce a new multivariate regression model based on the generalized Poisson distribution, which we called geographically-weighted multivariate generalized Poisson regression (GWMGPR) model, and we present a maximum likelihood step-by-step procedure
Sarni Maniar Berliana   +3 more
doaj   +1 more source

Statistical Inference for Odds Ratio of Two Proportions in Bilateral Correlated Data

open access: yesAxioms, 2022
Bilateral correlated data frequently arise in medical clinical studies such as otolaryngology and ophthalmology. Based on an equal correlation coefficient model, this paper mainly aimed to investigate the statistical inference for the odds ratio of two ...
Zhiming Li, Changxing Ma
doaj   +1 more source

Power analysis for RNA-Seq differential expression studies

open access: yesBMC Bioinformatics, 2017
Background Sample size calculation and power estimation are essential components of experimental designs in biomedical research. It is very challenging to estimate power for RNA-Seq differential expression under complex experimental designs.
Lianbo Yu, Soledad Fernandez, Guy Brock
doaj   +1 more source

Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling

open access: yesStatistical Theory and Related Fields, 2022
Due to cost-effectiveness and high efficiency, two-phase case-control sampling has been widely used in epidemiology studies. We develop a semi-parametric empirical likelihood approach to two-phase case-control data under the logistic regression model. We
Zhen Sheng, Yukun Liu, Jing Qin
doaj   +1 more source

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