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About 10,000 papers for “F-test”

F-test

Blanco Navarro, David · Institutional Repository of the University of Granada (University of Granada) · 2025

Cited by 0Open access

F-Test

National Cancer Institute · Definitions · 2020

Ope n Pe e r Re v ie w on Qe ios

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F-test

Martins, Paulo Magalhaes, Ackermann, Benjamin, Brons, Stephan et al. · Figshare · 2021

Python script to perform the F-test to all data measurements from both campaigns. It must be in the same folder as the datasets to run properly.

Cited by 0Open access

F-test

Sanchez-Marquez, Rafael · Data Archiving and Networked Services (DANS) · 2020

F-test based on computer simulations and actual coverage.

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F-Test

Randall E. Schumacker, Sara Tomek · 2012

Cited by 10

F test.

Li Tao (154250), Lingnan Tai (16734026), Maozai Tian (11218510) · Figshare · 2023

<div><p>This paper proposes two new weighted quantile regression estimators for static panel data model with time-invariant regressors. The two new estimators can improve the estimation of the coefficients with time-invariant regressors, which are computationally convenient and simple to implement. Also, the paper shows consistency and asymptotic normality of the two proposed estimator for sequential and simultaneous <i>N</i>, <i>T</i> asymptotics. Monte Carlo simulation in various parameters sets proves the validity of the proposed approach. It has an empirical application to study the effects of the influence factors of China’s exports using the trade gravity model.</p></div>

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F test.

Kevin Christian Tjandra (18127527), Robin Novriansyah (18127530), I. Nyoman Sebastian Sudiasa (18127533) et al. · Figshare · 2024

<div><p>Background</p><p>Mesenchymal stem cells (MSCs) hold promise for osteoarthritis (OA) treatment, potentially enhanced by combining them with platelet-rich plasma (PRP) and hyaluronic acid (HA). This study aimed to assess the synergy of MSCs, PRP, and varying HA doses, and determine optimal MSC sources to treat early-stage OA in the perspective of Lysholm score, VAS Score, KSS score, and WOMAC score.</p><p>Method</p><p>Original articles from 2013 to 2023 were screened from four databases, focusing on clinical trials and randomized controlled trials. The Risk of Bias in Non-randomized Studies—of Interventions (ROB-2) tool evaluated bias, and a PICOS criteria table guided result construction. Revman 5.4 analyzed outcomes such as Lysholm score, VAS score, KSS, WOMAC score, cartilage volume, and defect size using MRI. This systematic review adhered to PRISMA guidelines.</p><p>Result</p><p>Nine studies met the final inclusion criteria. Meta-analysis revealed a significant improvement in Lysholm score (MD: 17.89; 95% CI: 16.01, 19.77; I2 = 0%, P = 0.56), a notable reduction in VAS score (MD: -2.62; 95% CI: -2.83, -2.41; I2 = 99%, P < 0.00001), elevated KSS (MD: 29.59; 95% CI: 27.66, 31.52; I2 = 95%, P < 0.0001), and reduced WOMAC score (MD: -12.38; 95% CI: -13.75, -11.01; I2 = 99%, P < 0.0001).</p><p>Conclusions</p><p>Arthroscopic guided high-dose subchondral application of primary cultured synovial MSCs in popliteal PRP media with HA effectively regenerates cartilage defects and improves clinical outcomes in early-stage osteoarthritis. Clarification of MSC sources and quantities enhances the understanding of this promising treatment modality.</p></div>

Cited by 0Open access

F-test

Martins, Paulo Magalhaes, Ackermann, Benjamin, Brons, Stephan et al. · Figshare · 2021

Python script to perform the F-test to all data measurements from both campaigns. It must be in the same folder as the datasets to run properly.

Cited by 0Open access

F test, BP test, and Hausman test.

Huafeng Zhai (16920794) · Figshare · 2023

<div><p>Objective</p><p>The objective of this study was to identify factors influencing the development of China-ASEAN trade- from the total economic volume of both sides, distance, the population size of ASEAN countries, the construction of a free trade area, and the signing of the Belt and Road initiative, resource endowment per capita, the exchange rate between RMB and ASEAN countries, and the land area of ASEAN countries—to develop a conceptual framework for China-ASEAN trade potential.</p><p>Study design</p><p>This study uses panel data from 2001 to 2021 that is evenly distributed among 10 ASEAN countries to serve as the dataset. Firstly, the unit roots are checked and the cointegration relationships are examined, focusing on the heterogeneity test. Based on the classical trade gravity model, the innovative trade gravity model with key influencing factors is constructed. On the basis of the classical trade gravity model, an innovative trade gravity model of key influencing factors is constructed. The trade potential model is used to calculate the direct trade potential coefficient between China and ASEAN countries, which points out the direction for the sustainability of bilateral trade.</p><p>Results</p><p>This study finds that among the factors affecting China-ASEAN bilateral trade, the total economic output of both sides, distance, population size of ASEAN countries, the construction of the FTA, and the signing of the Belt and Road Initiative all have a positive impact on bilateral trade. Three influencing factors, namely per capita resource endowment, exchange rate between RMB and ASEAN countries, and the size of ASEAN countries, have a negative impact on bilateral trade, but to a lesser extent. The trade potential between China and Vietnam falls into the category of potential re-modelling, indicating that both sides are currently utilizing their trade potential to the greatest extent possible, that trade growth space is limited, and that new trade opportunities must be discovered. The trade potential index between China and nine ASEAN countries, excluding Vietnam, is in the potential-exploiting category, indicating that the potential has not been fully utilized by both sides and that there is still room for growth in the scale of trade between the two countries.</p><p>Conclusion</p><p>With the shift of the world’s economic center of gravity in the direction of Asia following COVID-19, China and ASEAN countries should seize the opportunity to strengthen their comprehensive strength and economic aggregates and further develop China’s constructive role in the regional organization. The signing of the Belt and Road Initiative and the construction of a free trade zone has had a positive effect on the development of bilateral trade. Propose that: positive trade factors should continue to be strengthened, trade barriers should be removed, and new dynamics of bilateral trade growth should be enhanced.</p></div>

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Adjusted F Test

The SAGE Encyclopedia of Research Design · 2022

Cited by 0

F-limer test.

Pejman Peykani (9510059), Mostafa Sargolzaei (17102393), Camelia Oprean-Stan (22008604) et al. · Figshare · 2025

<div> The increase in macroeconomic uncertainty leads to inefficiency in the financial and banking sectors, resulting in a rise in Non-Performing Loans (NPLs). When macroeconomic uncertainty increases, financial institutions experience higher inefficiencies, reflected in increased NPLs, and with proper management solutions, the economy can move toward sustainability. This research analyzes the effect of severe macroeconomic shocks on the NPLs of the Iranian banking system using the Time-Varying Parameter Vector Autoregressions (TVP-VAR) model and a Panel Data Model. The study utilizes data from 2007 to 2021 on key macroeconomic indicators such as economic growth rate, inflation rate, interest rate, unemployment rate, and exchange rate, along with the ratio of Non-Current Claims to Total Facilities as an index of credit risk and the ratio of loans to total assets as a risk-taking index for banks. Our innovation lies in analyzing these variables dynamically, accounting for their correlation and mutual impact. The findings indicate that a 1% increase in inflation leads to a 0.0061% increase in NPLs, while a 1% rise in the unemployment rate results in a 0.0182% increase in NPLs. Conversely, a 1% increase in GDP growth reduces NPLs by 0.0036%. Furthermore, shocks to interest rates, exchange rates, and economic growth increase credit risk, with a 1% interest rate shock raising the default rate from 7.8% to 9.2% over time. </div>

Cited by 0Open access

f-square test.

Md. Asaduzzaman Babu (22837799), Hafsa Akter Urmi (22837802), Abzal Hosen Tofayel (22837805) et al. · Figshare · 2025

<div> This study aims to examine how influencer marketing shapes tourists’ perceptions and purchase intentions in the tourism sector of Bangladesh. Specifically, it examines the impact of word of mouth, content characteristics, consumer trust, emotional connection, and brand awareness on consumer perception, as well as how these perceptions influence purchase intention within a digital marketing context. A quantitative, cross-sectional design was employed, utilizing a structured online questionnaire distributed to active social media users who follow travel influencers. Data were collected from 400 respondents through non-probability purposive sampling, representing individuals familiar with influencer-generated travel content. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses and evaluate both measurement and structural models. Results revealed that word of mouth (β = 0.269, p < 0.001), content characteristics (β = 0.152, p < 0.05), consumer trust (β = 0.207, p < 0.05), emotional connection (β = 0.170, p < 0.05), and brand awareness (β = 0.200, p < 0.001) significantly influence consumer perception. In turn, consumer perception strongly predicts purchase intention (β = 0.561, p < 0.001). All five influencer-related factors; word of mouth, content characteristics, trust, emotional connection, and brand awareness significantly influence consumer perception, which in turn strongly predicts purchase intention. Among these, trust, word of mouth, and content quality were found to be the most influential predictors of success. The findings confirm that credible and engaging influencer communication enhances tourists’ perceptions and motivates travel-related purchasing behavior. The study provides actionable insights for tourism marketers and policymakers, emphasizing the importance of authenticity, message quality, and trust-building in influencer collaborations. It also highlights the need for integrating influencer campaigns into broader destination branding strategies. This research contributes theoretically by integrating Social Influence Theory and Source Credibility Theory into a single model. It provides new empirical evidence from an emerging tourism market (Bangladesh), expanding cross-cultural understanding of influencer marketing’s role in shaping consumer behavior in digital tourism. </div>

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Granger-F test.

Weiwei He (32469), Yabin Zhang (1402900), Yuan Zhong (205199) et al. · Figshare · 2020

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Ramsey RESET test with F-test summary.

Dan Zheng (144729), Abdullah Addas (16917393), Liaqat Ali Waseem (16436969) et al. · Figshare · 2024

<div><p>The study draws attention to the associations between monetary and economic elements and their potential environmental impacts. The study uses time series data from 1960 to 2022 to examine the connection between CO<sub>2</sub> emissions, industrial growth, GNE, and inflation in China. The researchers utilized the well-known econometric technique of nonlinear autoregressive distributed lag (NARDL) to examine nonlinear correlations between these variables. The results reveal that GDP, inflation, and economic development influence long-term CO<sub>2</sub> emissions. The strong positive correlation between gross national expenditures and economic activity increases CO<sub>2</sub> emissions. In the short run, CO<sub>2</sub> emissions are positively and statistically significantly affected by inflation. While inflation temporarily affects CO<sub>2</sub> emissions, this effect dissipates with time. Industrial activity increases CO<sub>2</sub> emissions, and China’s fast industrialization has damaged the environment. The energy-intensive fertiliser manufacturing process and fossil fuels increase CO<sub>2</sub> emissions. The research shows how government officials and academics may collaborate to create tailored measures to alleviate the environmental impacts of economic activity.</p></div>

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O/F Test (Hugh and Leifson's Test)

CP Prince · Jaypee Brothers Medical Publishers (P) Ltd. eBooks · 2009

Cited by 0

F-28 drop test

NASA/Langley Research Center · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 2002

Photographed on 12/10/2002. -- 14 Foot drop of Fokker 28 aluminum fuselage. Test performed at the Impact Dynamics Research Facility drop tower, building 1297.

Cited by 0Open access

F-28 drop test

NASA/Langley Research Center · Bulletin of Miscellaneous Information (Royal Gardens Kew)

Photographed on 12/10/2002. -- 14 Foot drop of Fokker 28 aluminum fuselage. Test performed at the Impact Dynamics Research Facility drop tower, building 1297.

Cited by 0Open access