Results 21 to 30 of about 388,737 (200)

Non-parametric Hypothesis Tests for Distributional Group Symmetry

, 2023
Symmetry plays a central role in the sciences, machine learning, and statistics. For situations in which data are known to obey a symmetry, a multitude of methods that exploit symmetry have been developed. Statistical tests for the presence or absence of general group symmetry, however, are largely non-existent.
Chiu, Kenny, Bloem-Reddy, Benjamin
openaire   +2 more sources

Deteksi Sinyal : Overview Model Parametrik menggunakan Kriteria Neyman-Pearson

Jurnal Elkomika, 2019
ABSTRAK Deteksi sinyal banyak diimplementasikan dalam sistem pengolahan sinyal yang sangat kompleks. Sebagai contoh digunakan pada sub sistem pengolahan sinyal radar pengintai yang berfungsi untuk deteksi dan pelacakan target.
FIKY YOSEF SURATMAN, ALOYSIUS ADYA PRAMUDITA, DHARU ARSENO   +2 more
doaj   +1 more source

Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing [PDF]

IEEE Transactions on Signal Processing, 2019
In this paper, we propose a new algorithm for sequential non-parametric hypothesis testing based on Random Distortion Testing (RDT). The data-based approach is non-parametric in the sense that the underlying signal distributions under each hypothesis are assumed to be unknown.
Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney   +3 more
openaire   +2 more sources

Zero- vs. one-dimensional, parametric vs. non-parametric, and confidence interval vs. hypothesis testing procedures in one-dimensional biomechanical trajectory analysis. [PDF]

, 2015
Biomechanical processes are often manifested as one-dimensional (1D) trajectories. It has been shown that 1D confidence intervals (CIs) are biased when based on 0D statistical procedures, and the non-parametric 1D bootstrap CI has emerged in the ...
Adler, Batterham, Besier, Bisseling, Cutti, Dixon, Dorn, Duhamel, Friston, Friston, Good, Gravel, Jos Vanrenterghem, Kiebel, Kristianslund, Lenhoff, Mark A. Robinson, McGinley, Neptune, Nichols, Olshen, Pataky, Pataky, Pataky, Ramsay, Robinson, Sadeghi, Schwartz, Todd C. Pataky, Worsley, Worsley   +30 more
core   +1 more source

Providing Evidence for the Null Hypothesis in Functional Magnetic Resonance Imaging Using Group-Level Bayesian Inference

Frontiers in Neuroinformatics, 2021
Classical null hypothesis significance testing is limited to the rejection of the point-null hypothesis; it does not allow the interpretation of non-significant results. This leads to a bias against the null hypothesis.
Ruslan Masharipov, Irina Knyazeva, Yaroslav Nikolaev, Alexander Korotkov, Michael Didur, Denis Cherednichenko, Maxim Kireev   +6 more
doaj   +1 more source

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

IEEE Access, 2017
Machine learning has been successfully applied to many areas of science and engineering. Some examples include time series prediction, optical character recognition, signal and image classification in biomedical applications for diagnosis and prognosis ...
J. M. Gorriz, J. Ramirez, J. Suckling, Ignacio Alvarez Illan, Andres Ortiz, F. J. Martinez-Murcia, Fermin Segovia, D. Salas-Gonzalez, Shuihua Wang   +8 more
doaj   +1 more source

Involvement in Subject Teachers Association (MGMP), Pedagogical and Professional Competencies of Civic Teachers, And Learning Outcomes: A Correlational Study

Jurnal Ilmu Pendidikan, 2021
This study aims to determine the relationship of teacher involvement in the Subject Teachers Association (MGMP), pedagogical and professional competencies of civic teachers with the learning outcomes of high school students in Malang.
Auliah Safitri, Abdul Gafur
doaj   +1 more source

Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics

Indian Journal of Radiology and Imaging
A systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for
Adarsh Anil Kumar, Jineesh Valakkada, Anoop Ayyappan, Santhosh Kannath   +3 more
doaj   +1 more source

The effect of alternative permutation testing strategies on the performance of multifactor dimensionality reduction

BMC Research Notes, 2008
Background Multifactor Dimensionality Reduction (MDR) is a novel method developed to detect gene-gene interactions in case-control association analysis by exhaustively searching multi-locus combinations.
Motsinger-Reif Alison A
doaj   +1 more source

Data distribution analysis – a preliminary approach to quantitative data in biomedical research

Journal of Medical Science, 2023
Statistical analysis is an integral part of medical research. It helps transform raw data into meaningful insights, supports hypothesis testing, optimises study design, assesses risk and prognosis, and facilitates evidence-based decision-making.
Przemysław Guzik, Barbara Więckowska
doaj   +1 more source