Nonparametric regression estimation using multivariable truncated splines for binary response data [PDF]
MethodsXIn recent years, Truncated Spline estimators in nonparametric regression for quantitative data have gained significant attention. However, in practical applications, it is common to encounter situations where the response variable is qualitative (binary).
Afiqah Saffa Suriaslan +2 more
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COMPARISON OF B-SPLINE AND TRUNCATED SPLINE REGRESSION MODELS FOR TEMPERATURE FORECAST
Barekeng, 2023 The spline regression model is a nonparametric model and it is applied to data that do not have a certain curve shape and do not have information about it.
Sri Sulistijowati Handajani +6 more
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Development of nonparametric geographically weighted regression using truncated spline approach [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2018 Nonparametric geographically weighted regression with truncated spline approach is a new method of statistical science. It is used to solve the problems of regression analysis of spatial data if the regression curve is unknown.
Sifriyani +3 more
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Determination of the best knot and bandwidth in geographically weighted truncated spline nonparametric regression using generalized cross validation [PDF]
MethodsX, 2023 This study proposes the development of nonparametric regression for data containing spatial heterogeneity with local parameter estimates for each observation location.
Robiansyah Putra +2 more
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Pemodelan Regresi Nonparametrik dengan Estimator Spline Truncated vs Deret Fourier
Jambura Journal of Mathematics, 2021 ABSTRAK Pendekatan regresi nonparametrik digunakan apabila hubungan antara variabel prediktor dan variabel respon tidak diketahui polanya. Spline truncated dan deret Fourier merupakan estimator dalam pendekatan nonparametrik yang terkenal, karena ...
Andrea Tri Rian Dani +1 more
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The performance of mixed truncated spline-local linear nonparametric regression model for longitudinal data [PDF]
MethodsXA mixed estimator nonparametric regression (MENR) model is an additive model that involves a combination of two estimators or more in multivariable nonparametric regression.
Idhia Sriliana +2 more
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Nonparametric spatio-temporal modeling: Contruction of a geographically and temporally weighted spline regression [PDF]
MethodsXThis research introduces a new model called Geographically Temporally and Weighted Spline Nonparametric Regression (GTWSNR), which is an extension of the Geographically Temporally Weighted Regression (GTWR) model.
Sifriyani +8 more
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Barekeng, 2023 This study used a biresponse nonparametric regression method with truncated spline estimation that used two response variables. Nonparametric regression method is used when the regression curve is not known for its shape and pattern.One of the ...
Ar Ruum Mia Sari +2 more
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Barekeng, 2021 Penelitian ini menggunakan model regresi nonparametrik birespon dengan pendekatan spline truncated. Model tersebut digunakan untuk menyelesaikan permasalahan analisis regresi yang bentuk kurvanya tidak diketahui.
Aprianti Boma Padatuan +2 more
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Barekeng, 2023 Researchers use the nonparametric regression method because it provides excellent flexibility in the modeling process. Nonparametric regression procedures can be used if the relationship pattern between the predictor and response variables is unknown ...
Anggi Putri Anisar +2 more
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