Results 241 to 250 of about 424,647 (298)

Association between plasma magnesium levels and glycolipid metabolism in a southern Chinese population: a cross-sectional study in Shenzhen. [PDF]

Front Endocrinol (Lausanne)
Li M, Hu D, Zou Z, Chen J, Zou D, Zhang Y, Han JJ, Liu J, Kuang Y, Yan B, Cheng J, Lv Z, Chen X, Huang S.   +13 more
europepmc   +1 more source

Associations of volatile organic compounds with cancer: A cross-sectional analysis of single and mixture exposures. [PDF]

J Int Med Res
Lv C, Ge J, Chen H, Xuan Q.
europepmc   +1 more source

Analysis of the association between blood heavy metals and tinnitus. [PDF]

Medicine (Baltimore)
Jin X, Si S, Cui Z, Jin Y.
europepmc   +1 more source

Unifying Summary Statistic Selection for Approximate Bayesian Computation. [PDF]

Stat Comput
Hoffmann T, Onnela JP.
europepmc   +1 more source

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Asymptotic Confidence Bands for Generalized Nonlinear Regression Models

Biometrics, 1995
Asymptotic confidence bands for generalized nonlinear regression models are developed. These are based on a combination of the S method of Scheffe, together with the delta method which is used to approximate the mean function by a linear combination of the parameters. The approach can be used in any situation where large sample theory can be applied to
Cox, Christopher, Ma, Guangqin
openaire   +3 more sources

Nonlinear regression technique applied to generalized phase-shifting interferometry

Journal of Modern Optics, 2005
We develop a new approach involving nonlinear regression in phase-shifting interferometry with the hope of improving the accuracy of phase measurement in the presence of first-order piezoelectric transducer (PZT) calibration errors. The approach that uses the Levenberg–Marquardt method is shown to detect with high precision the value of the true phase ...
Abhijit Patil, Pramod Rastogi
openaire   +1 more source

Nonlinear process monitoring based on decentralized generalized regression neural networks

Expert Systems with Applications, 2020
Abstract Given that the main task of process monitoring (i.e., fault detection) is actually a classical one-class classification problem, the generalized regression neural network (GRNN) is directly inapplicable for handling process modeling and monitoring issues.
Ting Lan, Chudong Tong, Haizhen Yu, Xuhua Shi, Lijia Luo   +4 more
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Robust estimation and testing for general nonlinear regression models

Applied Mathematics and Computation, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tabatabai, M. A., Argyros, I. K.
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Structural identifiability of generalized constraint neural network models for nonlinear regression

Neurocomputing, 2008
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining structural identifiability of the generalized constraint neural network (GCNN) models by viewing the model from two different perspectives.
Yang, Shuang-Hong, Hu, Bao-Gang, Cournède, Paul-Henry   +2 more
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