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

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

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.

Non-parametric Regression: Scale

2014 ◽  
pp. 231-254
Keyword(s):  
Parametric Regression ◽  
Non Parametric

scholarly journals Determination of Reactivity Ratios from Binary Copolymerization Using the k-Nearest Neighbor Non-Parametric Regression

Polymers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3811
Author(s):  
Iosif Sorin Fazakas-Anca ◽  
Arina Modrea ◽  
Sorin Vlase
Keyword(s):  
Experimental Data ◽  
Nearest Neighbor ◽  
Optimization Method ◽  
Reactivity Ratios ◽  
Data Sets ◽  
K Nearest Neighbor ◽  
Integration Algorithm ◽  
Data Set ◽  
Parametric Regression ◽  
Non Parametric

This paper proposes a new method for calculating the monomer reactivity ratios for binary copolymerization based on the terminal model. The original optimization method involves a numerical integration algorithm and an optimization algorithm based on k-nearest neighbour non-parametric regression. The calculation method has been tested on simulated and experimental data sets, at low (<10%), medium (10–35%) and high conversions (>40%), yielding reactivity ratios in a good agreement with the usual methods such as intersection, Fineman–Ross, reverse Fineman–Ross, Kelen–Tüdös, extended Kelen–Tüdös and the error in variable method. The experimental data sets used in this comparative analysis are copolymerization of 2-(N-phthalimido) ethyl acrylate with 1-vinyl-2-pyrolidone for low conversion, copolymerization of isoprene with glycidyl methacrylate for medium conversion and copolymerization of N-isopropylacrylamide with N,N-dimethylacrylamide for high conversion. Also, the possibility to estimate experimental errors from a single experimental data set formed by n experimental data is shown.

scholarly journals Asymptotic minimax risk of predictive density estimation for non-parametric regression

Bernoulli ◽  
2010 ◽  
Vol 16 (2) ◽  
pp. 543-560 ◽  
Author(s):  
Xinyi Xu ◽  
Feng Liang
Keyword(s):  
Density Estimation ◽  
Minimax Risk ◽  
Predictive Density ◽  
Parametric Regression ◽  
Asymptotic Minimax ◽  
Non Parametric

Estimation of non-parametric regression in the analysis of the anti-inflammatory activity of diverse extracts of Sideritis foetens

1997 ◽  
Vol 24 (5) ◽  
pp. 559-572
Author(s):  
E. Ayuga Tellez ◽  
C. Ayuga Tellez ◽  
C. Gonzalez Garcia ◽  
E. Martinez Falero
Keyword(s):  
Inflammatory Activity ◽  
Parametric Regression ◽  
Anti Inflammatory ◽  
Non Parametric
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