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Published in 2019 at "Statistical Inference for Stochastic Processes"
DOI: 10.1007/s11203-018-9182-z
Abstract: In this article, a time series analysis of covariance model is introduced when covariates time series have lead–lag relationship with response time series. Parameter estimation and hypothesis testing for this model are made in spectral…
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Keywords:
analysis covariance;
series analysis;
time;
time series ... See more keywords
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Published in 2023 at "Psychological methods"
DOI: 10.1037/met0000558.supp
Abstract: This article discusses the robustness of the multivariate analysis of covariance (MANCOVA) test for an emergent variable system and proposes a modification of this test to obtain adequate information from heterogeneous normal observations. The proposed…
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Keywords:
covariance heterogeneous;
heterogeneous incomplete;
analysis covariance;
multivariate analysis ... See more keywords
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Published in 2025 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2025.2500639
Abstract: Abstract. There are two approaches to non-parametric pairwise comparisons of treatment effects: the method based on pairwise rankings and the method based on overall ranking. The former is generally recommended in the literature because of…
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Keywords:
analysis covariance;
aligned rank;
simultaneous aligned;
pairwise ... See more keywords
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Published in 2025 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2025.2491800
Abstract: ABSTRACT One of the most important unresolved tasks in astronomy and astrophysics is related to black holes phenomena. Nowadays, the black holes are investigating by world-wide telescope arrays like the Event Horizon Telescope (EHT). As…
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Keywords:
image;
digital image;
image fragments;
relative velocities ... See more keywords
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1
Published in 2019 at "Journal of Clinical Psychopharmacology"
DOI: 10.1097/jcp.0000000000001009
Abstract: T he analysis of covariance (ANCOVA) was developed over 85 years ago by Ronald Fisher, arguably the father of modern statistics. Since that time, it has occupied a seemingly paradoxical position: vastly under-used in situations…
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Keywords:
covariate;
analysis covariance;
factor;
group ... See more keywords
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Published in 2019 at "Biometrics"
DOI: 10.1111/biom.13062
Abstract: "Covariate adjustment" in the randomized trial context refers to an estimator of the average treatment effect that adjusts for chance imbalances between study arms in baseline variables (called "covariates"). The baseline variables could include, for…
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Keywords:
treatment;
model;
analysis covariance;
confidence intervals ... See more keywords
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Published in 2025 at "Journal of Mathematics"
DOI: 10.1155/jom/1131677
Abstract: This paper proposes a model for analysis of covariance (ANCOVA) of censored data obtained from a positively skewed population by using the mixed inverse Gaussian (MIG) distribution. A hierarchical fully Bayesian approach is employed to…
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Keywords:
censored data;
analysis covariance;
inverse gaussian;
mixed inverse ... See more keywords
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Published in 2025 at "Korean Journal of Anesthesiology"
DOI: 10.4097/kja.24820
Abstract: Analysis of covariance (ANCOVA) is a statistical method used to assess mean differences between groups by considering factors such as covariates or fixed effects and is often used to assess efficacy endpoints in clinical trials.…
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Keywords:
covariate;
analysis;
analysis covariance;
clinical trials ... See more keywords