Non-parametric regression approach for model checking on the two-phase regression problem

1994 ◽  
Vol 21 (6) ◽  
pp. 597-606
Author(s):  
A. S. Azari ◽  
Chih-Ling Tsai
Keyword(s):  
Model Checking ◽  
Two Phase ◽  
Regression Problem ◽  
Parametric Regression ◽  
Regression Approach ◽  
Non Parametric

A non-parametric regression approach to repeated measures analysis in cancer experiments

1999 ◽  
Vol 26 (5) ◽  
pp. 601-611 ◽  
Author(s):  
M. Carme Ruiz De Villa ◽  
M. Salome E. Cabral ◽  
Eduardo Escrich Escriche ◽  
Montse Solanas
Keyword(s):  
Repeated Measures ◽  
Parametric Regression ◽  
Repeated Measures Analysis ◽  
Regression Approach ◽  
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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