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A study over the general formula of regression sum of squares in multiple linear regression
Numerical Methods for Partial Differential Equations, 2021Mehmet Korkmaz
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Bootstrap inference in functional linear regression models
We consider functional linear regression models (FLRMs) with functional regressor and scalar response, where the inference of the slope function is an important problem. However, even though asymptotic inference methods exist in FLRMs, these methods are limited in applicability because a wrong scaling factor is used; truncation bias in the limit is ...openaire +2 more sources
Inference on linear quantile regression with dyadic data
Journal of Statistical Planning and InferencezbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Inference for the Optimum Using Linear Regression Models with Discrete Inputs
Technometrics, 2023Robert W. Mee, Hui Li
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The number of subjects per variable required in linear regression analyses
Journal of Clinical Epidemiology, 2015, Peter Austin
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A New Regression Model: Modal Linear Regression
Scandinavian Journal of Statistics, 2014Weixin Yao, Longhai Li
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Benign overfitting in linear regression
Proceedings of the National Academy of Sciences of the United States of America, 2020Philip Long +2 more
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Discriminative Elastic-Net Regularized Linear Regression
IEEE Transactions on Image Processing, 2017Xiaozhao Fang, Zhihui Lai, Guosen Xie
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