Spline estimation of generalised monotonic regression

2014 ◽  
Vol 27 (1) ◽  
pp. 19-39 ◽  
Author(s):  
Minggen Lu
2014 ◽  
Vol 10 (10) ◽  
pp. 2155-2163
Author(s):  
G.M. Rajathi ◽  
R. Rangarajan ◽  
R. Haripriya ◽  
R. Nithya

Author(s):  
Ni Putu Ayu Mirah Mariati ◽  
Nyoman Budiantara ◽  
Vita Ratnasari

In estimating the regression curve there are three approaches, namely parametric regression, nonparametric regression and semiparametric regression. Nonparametric regression approach has high flexibility. Nonparametric regression approach that is quite popular is Truncated Spline. Truncated Spline is a polynomial pieces which have segmented and continuous. One of the advantages of Spline is that it can handle data that changes at certain sub intervals, so this model tends to search for data estimates wherever the data pattern moves and there are points of knots. In reality, data patterns often change at certain sub intervals, one of which is data on poverty in the Papua Province. Papua Province is ranked first in the percentage of poor people in Indonesia. The best of model Truncated Spline in nonparametric regression for the poverty model in Papua Province is using a combination of knot.  


2018 ◽  
Vol 59 (1) ◽  
pp. 197-218 ◽  
Author(s):  
Oleg Sysoev ◽  
Oleg Burdakov
Keyword(s):  

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