搜索结果: 1-9 共查到“nonlinear regression”相关记录9条 . 查询时间(0.062 秒)
Consistency of M estimates for separable nonlinear regression models
Nonlinear regression separable models con-sistency robust estimation.
2012/9/18
Consider a nonlinear regression model :yi =g(xi, 兤) +ei, i = 1, ..., n,where thexi are random predictorsxi and兤is the unknown parameter vector ranging in a set set 儲伡Rp. All known results on the consi...
A Simple Method to Visualize Results in Nonlinear Regression Models
gradient estimation dimensionality kernel smoothing nonlinear mean plots least squares cross validation
2012/10/23
A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is port...
上海财经大学经济学院高级计量经济学I课件Lecture 4 Nonlinear Regression Models and Generalized Least Squares
上海财经大学经济学院 高级计量经济学I 课件 Lecture 4 Regression Models Generalized Least Squares
2012/7/16
上海财经大学经济学院高级计量经济学I课件Lecture 4 Nonlinear Regression Models and Generalized Least Squares.
Robust M-Procedures in Univariate Nonlinear Regression Models
Robust M-Procedures Univariate Nonlinear Regression Models
2009/9/17
Robust M-Procedures in Univariate Nonlinear Regression Models。
Velocity Curve Analysis of the Spectroscopic Binary Stars PV Pup, HD 141929, EE Cet and V921 Her by Nonlinear Regression
Stars binaries eclipsing—stars binaries spectroscopic
2009/5/12
We use the method introduced by Karami & Mohebi (2007),
and Karami & Teimoorinia (2007) which enable us to derive the orbital
parameters of the spectroscopic binary stars by the nonlinear least squa...
Birnbaum-Saunders nonlinear regression models
Bias correction Birnbaum–Saunders distribution maximumlikelihood estimation nonlinear regression
2010/3/17
We introduce, for the first time, a new class of Birnbaum–Saunders nonlinear
regression models potentially useful in lifetime data analysis. The class generalizes
the regression model described by R...
Parameter estimation for computationally intensive nonlinear regression with an application to climate modeling
Equilibrium climate sensitivity observed and modeled climate space–time modeling statistical surrogate temperature data
2010/3/17
Nonlinear regression is a useful statistical tool, relating observed
data and a nonlinear function of unknown parameters. When the
parameter-dependent nonlinear function is computationally intensive...
Comparing Neural Networks, Linear and Nonlinear Regression
Artificial neural networks bulk density cone index regression models water content
2009/1/8
Penetration resistance (PR) is an important property of soils, and can be expressed as cone index (CI). Because of high variability, there are no accurate and representative PR data in most cases. Va...
DIAGNOSTICS FOR NONLINEAR REGRESSION MODEL WITH WEIGHTING OR TRANSFORMATION
Box-Cox transformation case-deletion mo
2007/8/7
In this paper, we propose several diagnostic measures for assessing the influence of an individual case and small perturbations on the transformation power estimator and the variance function estimato...