Results 161 to 170 of about 5,704 (194)
Semiparametric regression in Stata [PDF]
, 2013 The boxplot is probably the most commonly used tool to represent the distribution of the data and identify atypical observations in a univariate dataset. The problem with the standard boxplot is that as soon as asymmetry or tail heaviness appears, the percentage of values identified as atypical becomes excessive.
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A useful semiparametric regression for climatology
Communications in Statistics - Simulation and Computation, 2022J. C. S. Vasconcelos +4 more
openaire +1 more source
Bayesian Semiparametric Seemingly Unrelated Regression
2002Parametric seemingly unrelated regression (SUR) models are a common tool for multivariate regression analysis when error variables are reasonably correlated.
Stefan Lang 0003 +2 more
openaire +1 more source
Panel semiparametric quantile regression neural network for electricity consumption forecasting
Ecological Informatics, 2022Xingcai Zhou, Jiangyan Wang
exaly
Efficient semiparametric copula estimation of regression models with endogeneity
Econometric Reviews, 2022Kien C Tran, Efthymios G Tsionas
exaly
Semiparametric Regression with R
Journal of the American Statistical Association, 2022Zixiao Wang, Yi Feng, Lin Liu
openaire +1 more source
Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
Journal of the American Statistical Association, 2012Mian Huang, Weixin Yao
exaly