Newton–Raphsonnonlinear estimation (ETSnonlinear least squares (NLSnonlinear regressionNo Abstract available for this article.doi:10.1007/BF02757840G. I. EfremovT. Yu. ZhuravlevaB. S. SazhinNauka/InterperiodicaTheoretical Foundations of Chemical Engineering...
非线性回归分析（Nonlinear Regression Analysis）是一种用于建立变量之间非线性关系的统计方法。它与线性回归分析的主要区别在于，非线性回归模型中的自变量与因变量之间的关系不是线性的，而是遵循某种非线性函数形式。以下是非线性回归分析的详细概述：一、基本概念 - 非线性关系：变量之间的关系不是直线型的，而是曲线...
V Kr?Tschmer - 《Journal of Multivariate Analysis》 被引量: 33发表: 2006年 Specification Testing for Nonlinear Cointegrating Regression We provide a limit theory for a general class of kernel smoothed U statistics that may be used for specification testing in time series regression with non... ...
analysis includes several variations, such as linear, multiple linear, and nonlinear. The most common models are simple linear and multiple linear. Nonlinear regression analysis is commonly used for more complicated data sets in which the dependent and independent variables show a nonlinear relationship...
A Monte Carlo method is employed to characterize distributions of parameter values calculated in nonlinear regression problems. Accurate estimates of confi... JS Alper,RI Gelb - 《J.phys.chem》 被引量: 122发表: 1990年 Confidence intervals for the slope of a regression line when the error term...
When linear relationship is required for multiple RVs, it is called the multiple regression analysis. When nonlinear relationship is required, it is called nonlinear regression analysis. The concept behind regression analysis is relatively simple; however, there is a potential for misuse. The basic ...
The two basic types of regression are simple linear regression andmultiple linear regression, although there are nonlinear regression methods for more complicated data and analysis. Simple linear regression uses one independent variable to explain orpredict the outcome of the dependent variableY, while m...
REGRESSION ANALYSIS OF THE NONLINEAR GROWTH MODEL 来自 知网 喜欢 0 阅读量: 24 作者:M Shi,G Liu 摘要: In this paper,the iteration formula of the parameter value calculation for Logistic Model and Gompertz Model has been prssented.and a new method for the determination of the initial ...
Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.
The value of regression analysis as a statistical tool may be significantly diminished when the set of independent or predictor variables are approximately collinear. The presence of approximate linear relationships in a set of predictors is not unusual for data that arise in social science research....