Results 21 to 30 of about 26,999,079 (309)

Nonlinear regression analysis

, 2023
Nonlinear regression analysis is a popular and important tool for scientists and engineers. In this article, we introduce theories and methods of nonlinear regression and its statistical inferences using the frequentist and Bayesian statistical modeling and computation.
Huang, Hsin-Hsiung, He, Qing
openaire   +2 more sources

Noncollapsibility and its role in quantifying confounding bias in logistic regression

BMC Medical Research Methodology, 2021
Background Confounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to ...
Noah A. Schuster, Jos W. R. Twisk, Gerben ter Riet, Martijn W. Heymans, Judith J. M. Rijnhart   +4 more
doaj   +1 more source

Robust regression with imprecise data [PDF]

, 2011
We consider the problem of regression analysis with imprecise data. By imprecise data we mean imprecise observations of precise quantities in the form of sets of values.
Wiencierz, Andrea, Cattaneo, Marco E. G. V.   +1 more
core   +1 more source

Understanding of Macro Factors That Affect Yield of Government Bonds

Risks, 2022
Government bonds are one of the safest and most attractive instruments in the investment portfolio for private investors and investment funds. Although bonds are perceived as an alternative to bank deposits, a number of macroeconomic factors influence ...
Ekaterina Koroleva, Maxim Kopeykin
doaj   +1 more source

Regression Neural Networks Advantage over Classical Regression Analysis

RUDN Journal of Engineering Research
In this study, two analyzing methods are used to predict housing prices in California: neural network forecasting methods and methods based on regression analysis.
Olga A. Saltykova, Vyacheslav D. Saushkin   +1 more
doaj   +1 more source

Function Model Based on Nonlinear Transient Rheology of Rocks: An Analysis of Decadal GNSS Time Series After the 2011 Tohoku‐oki Earthquake

Geophysical Research Letters, 2023
The postseismic Global Navigation Satellite System (GNSS) time series after the 2011 Tohoku‐oki earthquake is often empirically explained by one or more logarithmic and exponential decay functions.
Sambuddha Dhar, Jun Muto
doaj   +1 more source

Comparison of regression models under multi-collinearity [PDF]

, 2018
Multicollinearity is a major problem in linear regression analysis and several methods exists in the literature to deal with the same. Ridge regression is one of the most popular methods to overcome the problem followed by Generalized Ridge Regression ...
Srinivasan, Rangasami M.; Department of Statistics, University of Madras, Bagya Lakshmi, H.; Department of Statistics, University of Madras, Gallo, Michele; Dipartimento di Scienze Sociali, Università di Napoli - L'Orientale   +2 more
core   +1 more source

Common pitfalls in statistical analysis: Linear regression analysis

Perspectives in Clinical Research, 2017
In a previous article in this series, we explained correlation analysis which describes the strength of relationship between two continuous variables.
Rakesh Aggarwal, Priya Ranganathan
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Predictive Models of Adult Distance Learners' Academic Performance: Comparative Analysis of Two Regression-based Models of Path Analysis [PDF]

, 2011
Using two regression-based models, this study looked into factors that explain academic performance of adult distance learners. The efficiency and applicability of linear regression and logit regression procedures as statistical models for path analysis ...
Quimbo, Maria Ana T.
core