Mathematics, 2023 In this article, we establish properties that relate quantiles of the log-skew-normal distribution to its parameters, allowing us to investigate the relationship between quantiles of a positive skewed response variable and a set of explanatory variables ...
Raúl Alejandro Morán-Vásquez +2 more
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Federal Regulation of Non-Nuclear Hazardous Wastes: A Research Bibliography [PDF]
, 1983 The identification of nonlinear systems by the minimization of a predictionerror criterion suffers from the problem of local minima. To get a reliableestimate we need good initial values for the parameters.
Danner, Richard A.
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Selection of tuning parameters in bridge regression models via Bayesian information criterion
, 2012 We consider the bridge linear regression modeling, which can produce a sparse or non-sparse model. A crucial point in the model building process is the selection of adjusted parameters including a regularization parameter and a tuning parameter in bridge
A Antoniadis +29 more
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Weighted Mixed Regression Estimation Under Biased Stochastic Restrictions [PDF]
, 2007 The paper considers the construction of estimators of regression coefficients in a linear regression model when some stochastic and biased apriori information is available. Such apriori information is framed as stochastic restrictions.
---, Shalabh, Heumann, Christian
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A multiple linear regression model of students’ performance in calculus in the new normal
Journal of Research, Policy & Practice of Teachers & Teacher Education, 2023 The Philippines launched an educational reform in 2012, adding two years of senior high schools (SHS) with strands that aim to prepare students for work or pursue college degrees.
Breix Michael Grande Agua +2 more
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The relationship between EQ-5D, HAQ and pain in patients with rheumatoid arthritis: further validation and development of the limited dependent variable, mixture model approach [PDF]
, 2013 Objective: To provide robust estimates of EQ-5D as a function of the Health Assessment Questionnaire (HAQ) and pain in patients with rheumatoid arthritis.
Allan Wailoo +20 more
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A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model
Stats, 2020 In a multiple linear regression model, the ordinary least squares estimator is inefficient when the multicollinearity problem exists. Many authors have proposed different estimators to overcome the multicollinearity problem for linear regression models ...
Issam Dawoud, B. M. Golam Kibria
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ARO-The Scientific Journal of Koya University, 2016 On 31 May 2003, the scan line corrector (SLC) of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor which compensates for the forward motion of the satellite in the imagery acquired failed permanently, resulting in loss of the ability to scan ...
Asmaa S. Abdul Jabar +4 more
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Lasso Estimation of an Interval-Valued Multiple Regression Model
, 2015 A multiple interval-valued linear regression model considering all the cross-relationships between the mids and spreads of the intervals has been introduced recently.
A. Blanco-Fernández +6 more
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Association rules and regression linear model of the groundwater population by the evaluation of uranium [PDF]
MATEC Web of Conferences, 2019 The uranium available more on groundwater samples of certain types on the total alkalinity were relatively the same. But, the content of the uranium was higher in the samples.
Lukman Iing, Natalina
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