Results 51 to 60 of about 5,866 (154)
Refinement Algorithms for Adaptive Isogeometric Methods with Hierarchical Splines
Axioms, 2018 The construction of suitable mesh configurations for spline models that provide local refinement capabilities is one of the fundamental components for the analysis and development of adaptive isogeometric methods.
Cesare Bracco +2 more
doaj +1 more source
Jurnal Matematika, 2020 One of the most frequently studied nonparametric regression model approaches is the spline truncated. This method is applied to cases of Maternal Mortality Rate because in various cases there is an increase in maternal mortality problems so that the ...
Luh Putu Safitri Pratiwi
doaj +1 more source
BarekengNonparametric regression is a model approach method that is used when the shape of the regression curve between the response variable and the predictor variable is assumed to have an unknown shape or pattern.
Frans Karta Sayoga Sitohang +2 more
doaj +1 more source
Spline Truncated Multivariabel pada Permodelan Nilai Ujian Nasional di Kabupaten Lombok Barat
Jurnal Matematika, 2017 Regression model is used to analyze the relationship between dependent variable and independent variable. If the regression curve form is not known, then the regression curve estimation can be done by nonparametric regression approach.
Nurul Fitriyani +2 more
doaj +1 more source
BarekengClimate change can affect rice production through changes in temperature, precipitation patterns, extreme weather events, and atmospheric carbon dioxide levels.
Sri Sulistijowati Handajani +5 more
doaj +1 more source
MODELING STUNTING PREVALENCE IN INDONESIA USING SPLINE TRUNCATED SEMIPARAMETRIC REGRESSION
BarekengSemiparametric regression combines parametric and nonparametric regression approaches. It is employed when the relationship pattern of the response variable is known with some predictors, while for other predictors, the relationship pattern is uncertain.
Rizki Dwi Fadlirhohim +2 more
doaj +1 more source
ANALISIS DATA INFLASI DI INDONESIA MENGGUNAKAN MODEL REGRESI SPLINE
Media Statistika, 2013 The inflation data is one of the financial time series data that has a high volatility, so if the data is modeled with parametric models (AR, MA and ARIMA), sometimes occur problems because there was an assumption that cannot be satisfied.
Suparti Suparti
doaj +1 more source
Bootstrap Pada Regresi Linear dan Spline Truncated
Statistika, 2014 Pendekatan parametrik mengasumsikan bentuk model sudah ditentukan. Apabila tidak ada informasi apapun tentang bentuk kurva, maka pendekatan yang digunakan adalah pendekatan nonparametrik, salah satunya spline truncated. Karena pendekatan tidak tergantung pada asumsi bentuk kurva tertentu, sehingga memberikan fleksibilitas yang lebih besar.
Harison Darmawi, Bambang Widjanarko Otok
openaire +1 more source
Journal of Physics: Conference Series, 2018 This paper aims to predict ozone concentrations based on the effects of ultraviolet light. Spline regression is piecewise polynomials that connect join points called knots. In spline regression, parameter estimation was fit by OLS (Ordinary Least Square) method. However, the OLS method leads to over parameterized and in the plot of estimated regression
R Fitri, Y Widyaningsih, D Lestari
openaire +1 more source
Estimasi Produksi Beras dengan Estimator Campuran Spline Truncated – Kernel di Jawa Timur
Jambura Journal of MathematicsThis study aims to apply a nonparametric regression model using a mixed estimator of Truncated Spline and Kernel to estimate Rice Production in East Java Province.
Andrea Tri Rian Dani +3 more
doaj +1 more source