Results 211 to 220 of about 64,166 (262)

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

Barrier Lyapunov function-based robust adaptive neural network control with dynamically adjusted activation functions for Euler-Lagrange systems under position constraints. [PDF]

Sci Rep
Yilmaz BM.
europepmc   +1 more source

Methodological and Statistical Considerations in Assessing the Association Between Cumulative Blood Pressure and Cognitive Decline. [PDF]

J Clin Hypertens (Greenwich)
Rana E.
europepmc   +1 more source

Correlation between novel hematological parameters and assisted pregnancy outcome in frozen-thawed embryo transfer patients. [PDF]

Front Cell Dev Biol
Cai X, Yang X, Chen Y, Li Y, Jiang T, Sun Y.   +5 more
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.
Khean-Lee Goh
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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Current account sustainability and nonlinear adjustment

Applied Economics Letters, 2021
The existence of mean reversion in current account is examined for 28 countries, using linear and nonlinear unit root tests.
Kurmaş Akdoğan, Jamal G. Husein
openaire   +1 more source