scholarly journals Classification of non-parametric regression functions in longitudinal data models

2016 ◽  
Vol 79 (1) ◽  
pp. 5-27 ◽  
Author(s):  
Michael Vogt ◽  
Oliver Linton
Keyword(s):  
Longitudinal Data ◽  
Data Models ◽  
Parametric Regression ◽  
Regression Functions ◽  
Non Parametric

Comparison of non-parametric regression functions through their cumulatives

2000 ◽  
Vol 46 (1) ◽  
pp. 21-32 ◽  
Author(s):  
Thomas H Scheike
Keyword(s):  
Parametric Regression ◽  
Regression Functions ◽  
Non Parametric

Complete cubic spline estimation of non-parametric regression functions

1990 ◽  
Vol 85 (1) ◽  
pp. 57-64 ◽  
Author(s):  
V�clav Fabian
Keyword(s):  
Cubic Spline ◽  
Parametric Regression ◽  
Regression Functions ◽  
Spline Estimation ◽  
Non Parametric

scholarly journals Comparison of spline estimator at various levels of autocorrelation in smoothing spline non parametric regression for longitudinal data

2017 ◽  
Vol 47 (21) ◽  
pp. 5265-5285
Author(s):  
Adji Achmad Rinaldo Fernandes ◽  
Paul Janssen ◽  
Umu Sa'adah ◽  
Solimun ◽  
Achmad Effendi ◽  
...  
Keyword(s):  
Longitudinal Data ◽  
Smoothing Spline ◽  
Parametric Regression ◽  
Non Parametric

KEBANGGAAN TERHADAP BATIK MADURA BAGI WARGA SUMENEP

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Sayyida Sayyida ◽  
Nurdody Zakki
Keyword(s):  
Logistic Regression ◽  
Rural Areas ◽  
Research Method ◽  
Community Group ◽  
Parametric Regression ◽  
Logit Function ◽  
The Village ◽  
The City ◽  
Level Of Risk ◽  
Non Parametric

Diversity of Indonesian Batik hanging area. One of the very well-known Indonesian batik is Batik Madura. Batik Madura has become a pride for Indonesia, especially for Madura. The purpose of the study is to model the Sumenep pride to Batik Madura and to see the level of risk or tendency of batik madura pride for the community group Sumenep. This research method uses a non parametric regression used a non-parametric regression because the dependent variable in this study is the variable Y are variables not normally distributed. The results of this study states that the level of risk of the village in Sumenep proud of batik is almost 5 times higher than the islands while people in this city who live in the district town at risk Sumenep proud of Batik Madura 8-fold compared to the archipelago. So it can be concluded that the city is much more proud of batik than those who reside in rural areas especially those who reside in the islands. This study uses data from 100 questionnaires were analyzed using logistic regression analysis. The conclusion of this study is the pride of the batik model as follows: Function logistic regression / logit function: g (x) = 0,074 + 1,568X4(1)+2,159X4(2 this is case the islands as a comparison, X4(1)  is the place to stay in the village and X4(2)  is the place to stay in town, so the Model Opportunities p(x) = EXP(g(x))/1+EXP(g(x)).  Hopes for further research is to conduct research on the development of batik in an integrated region, the need to be disseminated to potential areas of particular potential in Madura batik, especially for residents who reside in the Islands.Keywords: Pride, Batik, Sumenep.

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