Heritage and Sustainable DevelopmentProductivity is a prevalent requirement in the bridge construction industry. The precision of productivity rate measurement is significantly influenced by the ability to recognize and implement the critical factors that impact the productivity rate ...
Waseem M. Jasoor, Tareq A. Khaleel
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A U-Statistic for Testing the Lack of Dependence in Functional Partially Linear Regression Model
MathematicsThe functional partially linear regression model comprises a functional linear part and a non-parametric part. Testing the linear relationship between the response and the functional predictor is of fundamental importance.
Fanrong Zhao, Baoxue Zhang
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Interpreting interaction terms in linear and non-linear models: A cautionary tale [PDF]
Interaction terms are often misinterpreted in the empirical economics literature by assuming that the coefficient of interest represents unconditional marginal changes. I present the correct way to estimate conditional marginal changes in a series of non-
Drichoutis, Andreas
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Multivariate linear regression model based on cross-entropy for estimating disorganisation in drone formations. [PDF]
Sci Rep, 2023 Gackowska M +3 more
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THE LINEAR REGRESSION MODEL WITH AUTOCORRELATED ERRORS: JUST SAY NO TO ERROR AUTOCORRELATION [PDF]
This paper focuses on the practice of serial correlation correcting of the Linear Regression Model (LRM) by modeling the error. Simple Monte Carlo experiments are used to demonstrate the following points regarding this practice.
McGuirk, Anya M., Spanos, Aris
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Testing Exogeneity in the Functional Linear Regression Model
Statistica SinicaWe propose a novel test statistic for testing exogeneity in the functional linear regression model. In contrast to Hausman-type tests in finite dimensional linear regression setups, a direct extension to the functional linear regression model is not possible. Instead, we propose a test statistic based on the sum of the squared difference of projections
Dorn, Manuela +2 more
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Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation. [PDF]
Front Oncol, 2023 Tobiasz J +5 more
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StatsWe propose an unbiased restricted estimator that leverages prior information to enhance estimation efficiency for the linear regression model. The statistical properties of the proposed estimator are rigorously examined, highlighting its superiority over
Mustafa I. Alheety +2 more
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Gene Association Analysis of Quantitative Trait Based on Functional Linear Regression Model with Local Sparse Estimator. [PDF]
Genes (Basel), 2023 Wang J +7 more
europepmc +1 more source
Proposal of a Methodology for Prediction of Indoor PM2.5 Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model. [PDF]
Toxics, 2023 Park SY +8 more
europepmc +1 more source