Results 21 to 30 of about 4,922 (217)
Radiation-Related Knowledge and Attitudes Toward Medical Imaging Among the General Population in Iraq: A Cross-Sectional Survey. [PDF]
J Med Radiat SciA cross‐sectional survey of 1274 adults residing in Iraq found a median radiation‐related knowledge score of 5/10 and a median attitude score of 17/25. Only 18% correctly identified that MRI does not use ionizing radiation, while 36% recognized that a spiral CT scan may involve radiation equivalent to 100–800 conventional X‐rays.
Al-Qerem W +5 more
europepmc +2 more sources
How Do Financial Development and Renewable Energy Affect Consumption-Based Carbon Emissions?
Mathematical and Computational Applications, 2022 This paper bridges the gap in the literature by employing the novel quantile-on-quantile (QQ) approach, the quantile regression approach, and the nonparametric Granger causality test in quantiles to assess the effect of international trade on consumption-
Abraham Ayobamiji Awosusi +3 more
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Mathematics, 2023 The presence of nonignorable missing response variables often leads to complex conditional distribution patterns that cannot be effectively captured through mean regression.
Jingxuan Guo +7 more
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A nonparametric approach for quantile regression [PDF]
Journal of Statistical Distributions and Applications, 2018 Quantile regression estimates conditional quantiles and has wide applications in the real world. Estimating high conditional quantiles is an important problem. The regular quantile regression (QR) method often designs a linear or non-linear model, then estimates the coefficients to obtain the estimated conditional quantiles.
Huang, Mei Ling, Nguyen, Christine
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Mathematics, 2023 Space-time varying coefficient models, which are used to identify the effects of covariates that change over time and spatial location, have been widely studied in recent years. One such model, called the quantile regression model, is particularly useful
Bertho Tantular +3 more
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Fuzzy Semi-Parametric Logistic Quantile Regression Model
Wasit Journal for Pure Sciences, 2023 In this paper, the fuzzy semi-parametric logistic quantile regression model was studied in the absence of special conditions in the classical regression models.
Ahmed Razzaq, Ayad H. shemaila
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Quantile-dependent expressivity of serum C-reactive protein concentrations in family sets [PDF]
PeerJ, 2021 Background “Quantile-dependent expressivity” occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., C-reactive protein, CRP) is high or low relative to its distribution. We have previously shown that the heritabilities
Paul T. Williams
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Journal of Marine Science and Engineering, 2022 Transportation is one of the major carbon sources in China. Container throughput is one of the main influencing factors of ports’ carbon emission budget, and accurate prediction of container throughput is of great significance to the study of carbon ...
Yuye Zou, Bohan Su, Yanhui Chen
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SPECIFICATION TESTING IN NONPARAMETRIC INSTRUMENTAL QUANTILE REGRESSION [PDF]
Econometric Theory, 2020 There are many environments in econometrics which require nonseparable modeling of a structural disturbance. In a nonseparable model with endogenous regressors, key conditions are validity of instrumental variables and monotonicity of the model in a scalar unobservable variable.
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Nonparametric circular quantile regression [PDF]
Journal of Statistical Planning and Inference, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Di Marzio, Marco +2 more
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