Results 211 to 220 of about 64,424 (261)

Association Between Systemic Inflammation Response Index and Specific Depressive Symptoms: Evidence From a Cross-Sectional Survey. [PDF]

Brain Behav
Shan M, Hu B, Zhao S, Wang S, Pan Y.
europepmc   +1 more source

Heart rate variability changes in adolescents following surgical correction of aortic coarctation: Persistent autonomic alterations. [PDF]

Physiol Rep
Shevaldova OV, Kovaleva AV, Zavarina AY, Likhomanova EN, Panova EN, Obryvchenko OB.   +5 more
europepmc   +1 more source

Correction: Analysis of influencing factors of cognitive frailty in older adults community patients based on restricted cubic spline. [PDF]

Front Public Health
Chen S, Chen J, Peng S.
europepmc   +1 more source

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Adjustment of Prediction Intervals in Nonlinear Regression

Biometrical Journal, 1997
AbstractBy treating the nonlinear model as if it were linear in the parameterization θ in the neighbourhood of the least squares estimate θC, two‐sided nominally‐q‐prediction intervals can be constructed by applying the usual linear model theory.
Goh, K. L., Pooi, A. H.
exaly   +2 more sources

Parameters Adjustment for CCLM with Nonlinear Term

2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2023
Fan Liang
exaly   +2 more sources

Nonlinear Baroclinic Adjustment

Journal of the Atmospheric Sciences, 1991
Abstract The concept of baroclinic adjustment is reexamined in the context of a fully nonlinear two-layer model on a β-plane. Based on our results we propose a single, conceptually very simple mechanism of the nonlinear equilibration of waves and the mean flow, which we term “nonlinear baroclinic adjustment.” The new concept appears applicable to cases
Priscilla Cehelsky, Ka Kit Tung
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An adjustable model for linear to nonlinear regression

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
A basic limitation of all data-driven approximation methods is their inability to extrapolate accurately once the input is outside of the training data range. This paper examines the effectiveness and utility of combining a linear regression model with general regression neural network or modified probabilistic neural network for better linear ...
Tony Jan, Anthony Zaknich
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THRESHOLD COINTEGRATION AND NONLINEAR ADJUSTMENT TO THE LAW OF ONE PRICE [PDF]

Macroeconomic Dynamics, 2001
Previous studies investigating threshold behavior in real-exchange-rate and price difference data have used rather ad hoc statistical methods and have focused on univariate threshold models for relative prices. We utilize a general multivariate threshold cointegration model and develop a systematic testing and estimation strategy for this model ...
Ming Chien Lo, Eric Zivot
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Energetics of Nonlinear Geostrophic Adjustment

Journal of Physical Oceanography, 1995
Abstract Solutions and energetics for nonlinear geostrophic adjustment with an initial height perturbation of the order of the total fluid depth are computed and compared to solutions derived assuming linear dynamics. Both axisymmetric and zonally uniform profiles in 1½- and 2-layer shallow-water models are considered. Nonlinearities are present due to
Emmanuel Boss, Luanne Thompson
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Nonlinear Hydrostatic Adjustment

Journal of the Atmospheric Sciences, 1996
Abstract The final equilibrium state of Lamb's hydrostatic adjustment problem is found for finite amplitude heating. Lamb's problem consists of the response of a compressible atmosphere to an instantaneous, horizontally homogeneous heating. Results are presented for both isothermal and nonisothermal atmospheres.
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