Results 221 to 230 of about 5,204,898 (289)

Nonlinear Regression

Statistical Learning with Math and Python, 2020
Joe Suzuki
openaire   +2 more sources

Bias in Nonlinear Regression

Biometrika, 1986
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cook, R. D., Tsai, C.-L., Wei, B. C.
openaire   +1 more source

Multi-time-scale framework for prognostic health condition of lithium battery using modified Gaussian process regression and nonlinear regression

, 2020
Prognostic and health management of lithium batteries is a multi-faceted approach that can provide crucial indexes for guaranteeing the reliability and safety of the energy storage system.
Xiaoyu Li, Changgui Yuan, Zhenpo Wang
semanticscholar   +1 more source

Residuals in Nonlinear Regression

Biometrika, 1985
Abstract : The authors employ a quadratic expansion to investigate the behavior of the ordinary residuals in nonlinear regression. In particular, they derive quadratic approximations for the mean and variance of the ordinary residuals, and the covariances between the ordinary residuals and the fitted values.
R. D. COOK, CHIH-LING TSAI
openaire   +1 more source

The nonlinear effects of population aging, industrial structure, and urbanization on carbon emissions: A panel threshold regression analysis of 137 countries

Journal of Cleaner Production, 2021
Carbon emissions and population aging have risen as two major challenges of the sustainable development of human society. This study explores the nonlinear effects of population aging on carbon emission by developing a panel threshold regression (PTR ...
Qiang Wang, Lili Wang
semanticscholar   +1 more source

Nonlinear regression via incremental decision trees

Pattern Recognition, 2019
We study sequential nonlinear regression and introduce an online algorithm that elegantly mitigates, via an adaptively incremental hierarchical structure, convergence and undertraining issues of conventional nonlinear regression methods. Particularly, we
N Denizcan Vanli, Muhammed O Sayın, Huseyin Özkan   +2 more
exaly   +2 more sources

Nonlinear Regression with Dependent Observations

Econometrica, 1984
The authors establish general conditions for consistency and asymptotic normality for the nonlinear least squares estimators. These results are based on the extensions of the law of large numbers and the central limit theorem for random processes with mixing conditions.
White, Halbert, Domowitz, Ian
openaire   +1 more source

Nonlinear Regression

Parameter Estimation and Inverse Problems, 2013
Richard C. Aster, Brian Borchers, Clifford H. Thurber   +2 more
openaire   +2 more sources

Nonlinear Regression

Analysis of Variance, Design, and Regression, 2018
R. Christensen
semanticscholar   +3 more sources

Nonlinear Regression via Deep Negative Correlation Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Nonlinear regression has been extensively employed in many computer vision problems (e.g., crowd counting, age estimation, affective computing). Under the umbrella of deep learning, two common solutions exist i) transforming nonlinear regression to a ...
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jiawang Bian, Joey Tianyi Zhou, G. Zheng, Zeng Zeng   +7 more
semanticscholar   +1 more source