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中山大学岭南学院高级计量经济学课件（II：Panel Data）CH2 The Seemingly Unrelated Regression Model
中山大学岭南学院 高级计量经济学 课件（II：Panel Data） CH2 The Seemingly Unrelated Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（II：Panel Data）CH2 The Seemingly Unrelated Regression Model。
中山大学岭南学院高级计量经济学课件（I）CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model
中山大学岭南学院 高级计量经济学 课件（I） CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I）CH4 Large Sample Distribution Theory and Large Sample Properties of the Classical Regression Model。
中山大学岭南学院高级计量经济学课件（I）CH1 The Classical Multiple Regression Model
中山大学岭南学院 高级计量经济学 课件（I） CH1 The Classical Multiple Regression Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I）CH1 The Classical Multiple Regression Model。
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
linear regression multivariate statistics nitrogen NPS soil moisture spatial analysis visualization
2015/8/11
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
An Exact Test for Multiple Inequality and Equality Constraints in the Linear Regression Model
Multiple Inequality Equality Constraints
2015/7/31
In this article we consider the linear regression model y = X,B + a,
where e is N(O, a21). In this context we derive exact tests of the form
H: Rft ? r versus K: f E R K for the case in which a2 i...
ESTIMATION OF GRASS YIELD IN LARGE REGION ON GEOGRAPHICALLY WEIGHTED REGRESSION MODEL
Geographically Weighted Regression (GWR) Model Grass Yield
2015/5/6
The grass yield embodies its productivity，and also is ground for developing animal husbandry production management. Now the remote sensing technology has been becoming an efficient and feasible mean...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
NPS soil moisture spatial analysis visualization
2015/1/6
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Minimax lower bound for kink location estimators in a nonparametric regression model with long-range dependence
nonparametric regression long-range dependence kink minimax
2011/9/22
Abstract: In this paper, a lower bound is determined in the minimax sense for change point estimators of the first derivative of a regression function in the fractional white noise model. Similar mini...
On estimating parameters of censored generalized Poisson regression model
Generalized Poisson regression Mixture model
2010/9/21
When the sampling variance of a count variable Y is significantly greater or less than that predicted by an expected probability distribution, Y is said to be over- or underdispersed, respectively. A ...
Regression, model misspecification and causation, with pedagogical demonstration
Regression variable omission model incomplete bias
2010/9/20
This paper shows, by a proposition and a numerical example, how a classic simple or multiple normal regression can achieve with 0.99 probability a near perfect fit to a random sample of any size but d...
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...
ON BAHADUR ASYMPTOTIC EFFICIENCY IN A SEMIPARAMETRIC REGRESSION MODEL
bahadur asymptotic efficiency sendparam
2007/8/7
In this paper, authors consider Bahadur asymptotic efficiency of MLE {\bar β}_{ML} of β, which is an unknown parameter vector in the semiparametric regression model Y_i=X_i~T β + g(T_i) + i, where g i...
This paper deals with M-estimators for a semiparametric regression model Y=X^tβ_0 + g_0(T) + e，where Y is real-valued, T ranges over a nondegenerate compact interval, X ∈R^d, e is a random error, β_0 ...
A FAST PROCEDURE OF VARIABLE SELECTION IN LINEAR REGRESSION MODEL
Linear regression optimal subset a.s.l
2007/8/7
In many situations, we are interested in selection of important variables whichare adequate for prediction under a linear regression model. In this paper, a fast selection procedure is proposed and is...
Genetic Parameters for Litter Size in Pigs Using a Random Regression Model
Pigs Litter Size Random Regression Model Genetic Parameters
2016/4/25
Dispersion parameters for the number of piglets born alive were estimated using a repeatability and random regression model. Six sow breeds/lines were included in the analysis: Swedish Landrace, Large...