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Nonparametric regression estimation using multivariable truncated splines for binary response data [PDF]

MethodsX
In 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).
I Nyoman Budiantara
exaly   +6 more sources

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, Hasih Pratiwi, Respatiwulan Respatiwulan, Niswatul Qona’ah, Monica Ramadhania, Niken Evitasi, Nindya Eka Apsari   +6 more
doaj   +2 more sources

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, S. H. Kartiko, I. N. Budiantara, Gunardi   +3 more
doaj   +2 more sources

Spline estimation method in nonparametric regression using truncated spline approach

Journal of Physics: Conference Series, 2021
Abstract A parametric regression approach is used when the shape of the regression curve is known, and the nonparametric approach is used when the shape of the regression curve is unknown, the parametric regression model is still forced as a model of data patterns, it will cause inaccurate conclusions if the form of the function is not ...
D A Widyastuti, A A R Fernandes, H Pramoedyo   +2 more
exaly   +2 more sources

Determination of the best knot and bandwidth in geographically weighted truncated spline nonparametric regression using generalized cross validation

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, Muhammad Ghani Fadhlurrahman, Gunardi   +2 more
exaly   +3 more sources

Development of Semiparametric Truncated Spline Logistic Path Analysis

Cauchy: Jurnal Matematika Murni dan Aplikasi
Logistic path analysis extends logistic regression by incorporating intervening variables, addressing the limitations of linearity assumptions through nonparametric models like spline regression.
Sasi Wilujeng Sri Rejeki, Solimun Solimun, Nurjannah Nurjannah, Shalsa Amalia Yulianto, Muhammad Ohid Ullah   +4 more
doaj   +2 more sources

A Combined Truncated Spline and Kernel Semiparametric Path Model Development

Cauchy: Jurnal Matematika Murni dan Aplikasi
Semiparametric path analysis is a combination of parametric and nonparametric path analysis performed when the linearity assumption in some relationships is not met.
Usriatur Rohma, Adji Achmad Rinaldo Fernandes, Suci Astutik, Solimun Solimun   +3 more
doaj   +2 more sources

Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series [PDF]

Abstract and Applied Analysis, 2020
Existing literature in nonparametric regression has established a model that only applies one estimator to all predictors. This study is aimed at developing a mixed truncated spline and Fourier series model in nonparametric regression for longitudinal ...
Made Ayu Dwi Octavanny, I. Nyoman Budiantara, Heri Kuswanto, Dyah Putri Rahmawati   +3 more
doaj   +3 more sources

MODELLING CRIME RATES IN INDONESIA USING TRUNCATED SPLINE ESTIMATOR

Barekeng
Criminal acts are actions that violate the law and can arise from various factors such as emotions, psychological pressure, and others. Crime rate is a number that indicate the level of crime vulnerability in a certain area at a certain time.
Muhammad Althof Juniar, Azzahra Fania, Diana Ulya, Rico Ramadhan, Nur Chamidah   +4 more
doaj   +2 more sources

Nonparametric spatio-temporal modeling: Contruction of a geographically and temporally weighted spline regression [PDF]

MethodsX
This 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, Syaripuddin, M. Fathurahman, Nariza Wanti Wulan Sari, Meirinda Fauziyah, Andrea Tri Rian Dani, Raudhatul Jannah, S. Dwi Juriani, Ratna Kusuma   +8 more
doaj   +2 more sources