Results 1 to 10 of about 18,517 (245)

Small Samples, Big Insights: A Methodological Comparison of Estimation Techniques for Latent Divergent Thinking Models [PDF]

Journal of Intelligence
In psychology, small sample sizes are a frequent challenge—particularly when studying specific expert populations or using complex and cost-intensive methods like human scoring of creative answers—as they reduce statistical power, bias results, and limit
Selina Weiss, Lara S. Elmdust, Benjamin Goecke   +2 more
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Multicomponent stress-strength reliability analysis using the inverted exponentiated Rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records [PDF]

Scientific Reports
We propose a statistical model for multicomponent stress-strength reliability under the inverted exponentiated Rayleigh distribution. The model is specifically designed for complex data structures where component strength is measured using block adaptive
Haidy A. Newer
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BFF: Bayesian, Fiducial, and Frequentist Analysis of Cognitive Engagement among Cognitively Impaired Older Adults

Entropy, 2021
Engagement in cognitively demanding activities is beneficial to preserving cognitive health. Our goal was to demonstrate the utility of frequentist, Bayesian, and fiducial statistical methods for evaluating the robustness of effects in identifying ...
Shevaun D. Neupert, Claire M. Growney, Xianghe Zhu, Julia K. Sorensen, Emily L. Smith, Jan Hannig   +5 more
doaj   +1 more source

Misinterpretations of P-values and statistical tests persists among researchers and professionals working with statistics and epidemiology

Upsala Journal of Medical Sciences, 2022
Background: The aim was to investigate inferences of statistically significant test results among persons with more or less statistical education and research experience.
Per Lytsy, Mikael Hartman, Ronnie Pingel
doaj   +1 more source

A more principled use of the p-value? Not so fast: a critique of Colquhoun’s argument [PDF]

Royal Society Open Science, 2019
The usefulness of the statistic known as the p-value, as a means of quantifying the strength of evidence for the presence of an effect from empirical data has long been questioned in the statistical community.
Ognjen Arandjelović
doaj   +1 more source

A practical guide to understanding and validating complex models using data simulations

Methods in Ecology and Evolution, 2023
Biologists routinely fit novel and complex statistical models to push the limits of our understanding. Examples include, but are not limited to, flexible Bayesian approaches (e.g. BUGS, stan), frequentist and likelihood‐based approaches (e.g.
Graziella V. DiRenzo, Ephraim Hanks, David A. W. Miller   +2 more
doaj   +1 more source

COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES ON SAMPLE SIZE: METHODOLOGIC STUDY

Sabiad, 2023
Objective: In the present study, we aimed to evaluate the effects of sample size on results of study by using frequentist and Bayesian approaches.Material and Methods: The small sample consisted of 32 patients with ischemic heart disease (IHD) and 37 ...
Cennet Yıldız, Eray Yurtseven, Fatma Nihan Turhan Çağlar, Mehmet Güven Günver   +3 more
doaj   +1 more source

Adaptive User Interfaces and the Use of Inference Methods

Computational Science and Techniques, 2021
Bayesian Networks are used to model a user's behaviour. There is not much research on the use of Frequentist Inference to accomplish this same task.
Rachelle Barrette, Ratvinder Grewal
doaj   +1 more source

Modern Likelihood‐Frequentist Inference [PDF]

International Statistical Review, 2017
SummaryWe offer an exposition of modern higher order likelihood inference and introduce software to implement this in a quite general setting. The aim is to make more accessible an important development in statistical theory and practice. The software, implemented in anRpackage, requires only that the user provide code to compute the likelihood ...
Pierce, Donald Alan, Bellio, Ruggero
openaire   +2 more sources

Differences between Frequentist and Bayesian inference in routine surveillance for influenza vaccine effectiveness: a test-negative case-control study

BMC Public Health, 2021
Background Routine influenza vaccine effectiveness (VE) surveillance networks use frequentist methods to estimate VE. With data from more than a decade of VE surveillance from diverse global populations now available, using Bayesian methods to explicitly
Michael L. Jackson, Jill Ferdinands, Mary Patricia Nowalk, Richard K. Zimmerman, Burney Kieke, Manjusha Gaglani, Kempapura Murthy, Joshua G. Petrie, Emily T. Martin, Jessie R. Chung, Brendan Flannery, Lisa A. Jackson   +11 more
doaj   +1 more source