Results 41 to 50 of about 13,501,891 (203)

Non-parametric specification testing of non-nested econometric models [PDF]

, 1994
We consider the non-nested testing prqblem of non-parametric regressions. We show that, when the regression functions are unknown under both the null and the alternative hypotheses, an extension of the J-test procedure of Davidson and Mackinnon (1981 ...
Delgado, Miguel A., Li, Qi, Stengos, Thanasis   +2 more
core   +1 more source

Non-parametric tests of hypothesis.

, 2018
Non-parametric tests of hypothesis.
Marco Mantovani (5819180), Paolo Crosetto (5819177)   +1 more
core   +1 more source

Risk Perception and Hesitancy Toward COVID-19 Vaccination Among Healthcare Workers and Staff at a Medical College in Nepal

Risk Management and Healthcare Policy, 2021
Sabita Paudel,1 Subish Palaian,2,3 Pathiyil Ravi Shankar,4 Nuwadatta Subedi5 1Department of Pharmacology, Gandaki Medical College, Pokhara, Gandaki, Nepal; 2Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman,
Paudel S, Palaian S, Shankar PR, Subedi N   +3 more
doaj  

The power and type I error of Wilcoxon-Mann-Whitney, Welch's t, and student's t tests for Likert-type data

International Journal of Assessment Tools in Education, 2023
Likert-type item is the most popular response format for collecting data in social, educational, and psychological studies through scales or questionnaires.
Ahmet Salih Şimşek
doaj   +1 more source

Results of parametric and non-parametric tests of pre- vs. during pandemic telomere lengths.

, 2022
Results of parametric and non-parametric tests of pre- vs. during pandemic telomere lengths.
Holly Wei (6918530), Hudson P. Santos Jr. (4789617), Julia Aucoin (12251134), Lynne A. Hall (7131428), Abigail Jones (12251143), Amber Justice (12251140), Chongben Zhang (12251146), Gabrielle R. Kuntapay (12251137)   +7 more
core   +1 more source

The aggregation paradox for statistical rankings and nonparametric tests.

PLoS ONE, 2020
The relationship between social choice aggregation rules and non-parametric statistical tests has been established for several cases. An outstanding, general question at this intersection is whether there exists a non-parametric test that is consistent ...
Haikady N Nagaraja, Shane Sanders
doaj   +1 more source

A Non-Parametric Test for a Two-Way Analysis of Variance

Mathematics
The methodology carried out in this work is based on non-parametric inference. The problem is framed as a regression analysis, and the solution is derived using the permutation approach.
Stefano Bonnini, Michela Borghesi, Gianfranco Piscopo, Massimiliano Giacalone   +3 more
doaj   +1 more source

In vitro germination of passion fruit seeds in the function of tegument removal and culture media

Revista Brasileira de Engenharia Agrícola e Ambiental, 2023
The presence of salts in the culture medium and the addition of phytohormones, necessary to break seed dormancy in the in vitro germination of passion fruit, can induce critical values of osmotic potential.
Glaucia A. Faria, Beatriz G. Lopes, Paula Suares-Rocha, Antonio F. A. Ferreira, Katia L. Maltoni, Luiz H. Silvério Junior, Lucas B. Pigari, Lucas M. Felizardo, Enes Furlani Júnior   +8 more
doaj   +1 more source

Choosing between Parametric and Non-parametric Tests [PDF]

, 2014
A common question in comparing two sets of measurements is whether to use a parametric testing procedure or a non-parametric procedure. The question is even more important in dealing with smaller samples.
Johnson, Russ
core   +1 more source

Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

Journal of Causal Inference, 2019
Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI) testing. The Kernel Conditional Independence Test (KCIT) is currently one of the most popular CI tests in the non-parametric setting, but many ...
Strobl Eric V., Zhang Kun, Visweswaran Shyam   +2 more
doaj   +1 more source